notion-mcp-server
The Notion MCP Server enables AI assistants to interact with Notion's API through the Model Context Protocol (MCP), offering comprehensive content management capabilities:
Page Management: Create, update, archive, restore, and search for pages by title
Block Operations: Append, update, delete, and retrieve blocks and their children, including batch operations
Database Interactions: Create, query, and update databases with custom properties, filters, and sorting
Comment Management: Retrieve comments, create new ones, and reply to existing discussions
User Management: List workspace users and retrieve information about specific users or the bot user
Search Functionality: Search for pages and databases with sorting and pagination options
Provides tools for reading, creating, and modifying Notion content through natural language interactions, including page operations (creation, archiving, restoration, searching), block operations (retrieval, appending, updating, deleting), and batch operations for efficient content management.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@notion-mcp-servercreate a new page with today's tasks"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Notion MCP Server — Connect Claude, Cursor & VS Code to Notion
Give your AI full read/write access to Notion with one token and one paste. This is an agent-first Notion MCP server: your AI client (Claude Code, Claude Desktop, Cursor, VS Code, Cline, Zed — anything that speaks MCP) can create pages, query databases, append blocks, apply templates, comment, and upload files in natural language.
Three reasons it exists when Notion ships its own MCP:
Built for agents, not humans-in-the-loop. Notion's hosted MCP is OAuth-only — it cannot run headless. This server authenticates with a token, so it works in CI, cron jobs, background agents, and self-hosted deployments where nobody can click "Authorize".
94% smaller tool footprint at connection. Three MCP tools (1,005 tokens, the operation menus included) instead of one schema per endpoint — the official open-source server loads 17,163 tokens of tool schemas before you do anything. Operation schemas load on demand via
notion_describe, so even a typical multi-operation task stays 75–90% lighter. Measured, reproducible →The operational stuff is built in. Batched mutations with atomic rollback, idempotency keys, automatic retry on rate limits, slim token-efficient responses, full markdown round-trip, and self-healing validation errors that let the model fix its own bad payloads in one turn.
⚡ Quick start
Step 1 — get a Notion token (1 minute). Open app.notion.com/developers/tokens (the Personal access tokens page of Notion's developer portal) → + New token → name it, pick your workspace → Create token → copy the ntn_… value. That's it — a PAT sees everything you can see, no per-page sharing required. (Page missing or empty? Your admin disabled PATs — see auth alternatives.)
Step 2 — add the server to your client.
Claude Code
claude mcp add notion -s user \
-e NOTION_TOKEN=ntn_paste_your_token_here \
-- npx -y notion-mcp-serverCursor
Click the badge (then replace YOUR_NOTION_TOKEN in the generated entry), or add to ~/.cursor/mcp.json yourself:
{
"mcpServers": {
"notion": {
"command": "npx",
"args": ["-y", "notion-mcp-server"],
"env": { "NOTION_TOKEN": "ntn_paste_your_token_here" }
}
}
}VS Code (Copilot agent mode)
VS Code prompts for the token on install and stores it as a secret input.
Gemini CLI
gemini extensions install https://github.com/awkoy/notion-mcp-serverThe repo ships a gemini-extension.json, so Gemini CLI installs it as an extension: it asks for your Notion token once (kept in your system keychain) and starts the server with npx.
Claude Desktop
Easiest: the one-click extension. Download notion-mcp-server.mcpb from the latest release, double-click it (or drag into Claude Desktop → Settings → Extensions), paste your Notion token when prompted — done. No config files, Node.js not required.
Or via the config file: Settings → Developer → Edit Config, then add:
{
"mcpServers": {
"notion": {
"command": "npx",
"args": ["-y", "notion-mcp-server"],
"env": { "NOTION_TOKEN": "ntn_paste_your_token_here" }
}
}
}Quit Claude Desktop fully (Cmd+Q / tray → Quit) and reopen. Never used a config file before? Follow the step-by-step walkthrough for non-developers — it assumes nothing.
Docker / Podman / OrbStack
claude mcp add notion -s user \
-e NOTION_TOKEN=ntn_paste_your_token_here \
-- docker run --rm -i -e NOTION_TOKEN ghcr.io/awkoy/notion-mcp-server:latestThe -i flag is required (stdio transport). The image is OCI-compliant — Podman, OrbStack, colima, Rancher Desktop, Finch, and nerdctl all work with the same flags. For a long-running HTTP container (and the health check that goes with it), see Remote / HTTP transport.
Step 3 — try it. In a new chat:
"Use Notion to make a page called 'Hello from my agent' and add a checklist of three things to try today."
Your AI calls notion_write and replies with a live page link.
Related MCP server: Notion MCP Server
💡 What your AI can do with it
"Find every row in my Tasks database where Status is 'Doing' and tell me which are overdue." — typed
wherefilters, flattened rows"Rename these 50 pages to the new convention." — one batched call, 10-way parallel, idempotent retry
"Create a page from my 'Weekly review' template and fill in this summary." — Notion templates support
"Rewrite that spec page: fix the headings and add a code sample." — full markdown round-trip (
get_page_markdown→ edit →update_page_markdown)"Comment on yesterday's meeting notes with a one-paragraph summary."
"Upload this diagram to the design page." — single- and multi-part file uploads
"Look at the screenshot on that bug report and tell me what's wrong." —
get_imagehands the model the picture itself
Full capability list in Features; the complete operation catalog (47 ops) is in the Operations menu.
🧭 Which Notion MCP should you use?
Three options exist. Honest guidance:
Best for | Auth | Headless / CI | Notes | |
Notion hosted MCP ( | Interactive chat in claude.ai, ChatGPT, Cursor | OAuth (human must click; Notion says non-interactive auth is in the works) | ❌ | First-party, ~34 markdown tools (11 of them Custom Agent session tools that need Notion AI), some plan-gated |
— | Token | ✅ | Notion calls it deprecated and “no longer actively maintained”; the repo says it “may sunset” it and that issues and PRs are not actively monitored | |
This server | Agents, automation, CI, self-hosting, token-sensitive workloads | Token (PAT) | ✅ | Actively maintained, agent-first design below |
If you just want to chat with your Notion in claude.ai's web UI, use Notion's hosted connector — it's one click. Use this server when your agent runs unattended, when context/token cost matters, or when you want batch/idempotent semantics and self-hosting.
Capability | Official Notion MCP (open source) | This server |
Tool surface | 24 tools (one per endpoint), 17,163 tokens loaded into context | 3 tools, 1,005 tokens — 94% less schema at connection |
Operations covered | ~24 endpoints | 47 operations (plus a |
Batch mutations | Not documented | ✅ Universal |
Atomic batches + rollback | Not documented | ✅ |
Idempotency | Not documented | ✅ |
Rate-limit handling | 429s bubble up | ✅ Token-bucket limiter (3 req/s default) + exponential backoff, honors |
Response shapes | Raw Notion SDK JSON | Slim shapers drop noise by default; |
Database queries | Raw | Flattened name → primitive map (all 20+ property types) |
Wire format | Default SDK serialization | Compact JSON — ~30% smaller payloads |
Markdown | Page-level markdown tools | ✅ Markdown accepted by |
Templates | — | ✅ |
File uploads | Not in the documented tool surface | ✅ Single- and multi-part (5 MB chunks), MIME inferred |
Validation errors | Plain error string | Self-healing: |
Notion API version | — | Pinned |
Real-world impact:
Renaming 50 pages — one
notion_writecall with{ items: [...], concurrency: 10 }instead of 50 separate tool calls through the agent's reasoning loop: roughly an order of magnitude faster, and the prompt-token savings are the bigger win.Tool list in context — 3 schema blobs per conversation instead of ~24, no matter which of the 47 operations get called; the operation menu ships inside them as enums, so the model never has to read a resource to learn what exists.
Reading a 100-row database — flattened rows are typically 5–10× fewer tokens than the raw
propertiesbag, with no information loss.
🪄 Complete walkthrough (no coding required)
What you'll need
A Notion account.
The Claude Desktop app.
About 5 minutes.
Step 1 — Get your Notion token
A Personal Access Token (PAT) is like a key that lets the AI act as you inside Notion — it sees every page you can see, with no per-page setup.
Open app.notion.com/developers/tokens while logged into Notion — that's the Personal access tokens page of Notion's developer portal (also reachable from the app via Settings → Connections → Develop or manage integrations → Personal access tokens in the sidebar).
Click + New token.
Name it (e.g.
Claude), pick the workspace, leave the default Notion API capability checked, click Create token.Copy the token now — Notion shows it only once. It starts with
ntn_. Treat it like a password.
PATs expire 1 year after creation — set a reminder to rotate. No "Personal access tokens" tab? Your admin disabled them; use the Internal Integration alternative.
Step 2 — Tell Claude Desktop about the server
Open Claude Desktop → Claude menu (top-left on Mac, hamburger on Windows) → Settings → Developer → Edit Config.
A file named
claude_desktop_config.jsonopens. Don't panic at the curly braces — it's just text.Select all (
Cmd+A/Ctrl+A), delete, and paste:
{
"mcpServers": {
"notion": {
"command": "npx",
"args": ["-y", "notion-mcp-server"],
"env": {
"NOTION_TOKEN": "ntn_paste_your_token_here"
}
}
}
}This block tells Claude Desktop how to launch the connector.
npxdownloads and runs it automatically the first time. The only thing you change is the token.
Replace
ntn_paste_your_token_herewith your token — keep the quotation marks.Save (
Cmd+S/Ctrl+S).Quit Claude Desktop completely (Mac:
Cmd+Q; Windows: tray icon → Quit) and reopen it.
Step 3 — Check and try
Type / in a new chat — you should see notion_read, notion_write and notion_describe in the list. Then ask:
"Use Notion to make a new page called 'Hello from Claude' and add a checklist of three things I want to try today."
Claude calls the tool and replies with a page link. If something's off, it's almost always a token typo or Claude Desktop not fully quit — see Troubleshooting.
🔧 Configuration
Authentication: PAT (recommended) vs. Internal Integration
Both use the same NOTION_TOKEN env var — only where you get the token differs.
Personal Access Token (recommended) | Internal Integration (scoped) | |
Where | app.notion.com/developers/tokens → + New token | app.notion.com/developers/connections → + New connection |
Scope | Everything you can see | Only pages where you clicked • • • → Connect → <integration> |
Friction | None | Per-page Connect step for every page/database |
Use when | Default: personal + team workspaces, prototyping | Admin requires explicit per-resource scoping, or shared production bots |
💡 Most
object_not_founderrors are a wrong auth choice, not a bug: an Internal Integration token that was never Connected to the page. Switch to a PAT.
Can: read every page you have access to; create/update pages and databases where you have edit rights; comment as you; upload files. Can't: access pages you can't see; bypass workspace permissions; act as another user; change admin settings. A PAT's scope = your account — if you lose access to a page, so does the PAT. Issue separate tokens per teammate.
Expiry: PATs expire 1 year after creation (Notion docs); set a reminder for ~11 months.
Revoking: app.notion.com/developers/tokens → Revoke next to the token (immediate). Workspace admins can revoke anyone's from Settings & members → Connections → All personal access tokens.
Admin disabled PATs? Ask them to enable, or create an Internal Integration at app.notion.com/developers/connections (+ New connection) and • • • → Connect it to every page the agent should touch — same NOTION_TOKEN env var.
Official reference: PAT guide · Authorization overview.
Environment variables
Env var | Required | Default | Meaning |
| ✅ | — | PAT ( |
| — | — | Default parent for |
| — |
| Requests/second for the shared limiter (Notion's documented per-integration limit) |
| — | — |
|
| — | all | Comma-separated allowlist of operations or group presets — see Restricting operations |
| — | — | Comma-separated blocklist (same vocabulary); wins over the allowlist |
| — | — |
|
| — | — | Confine |
| — |
|
|
| — | — | Route all outbound traffic — Notion API calls and the downloads in |
| — | — | Only used by the daily-log MCP prompt |
HTTP-transport variables (MCP_TRANSPORT, PORT, HOST, MCP_AUTH_TOKEN, …) are covered in Remote / HTTP transport.
Upgrading from v1.x or v2.x? Your env vars all still work unchanged. The only break is the tool surface (v1's five tools, then v2's
notion_execute, becamenotion_read+notion_write;notion_describeis unchanged); modern clients rediscover tools automatically. Details: MIGRATION.md.
Restricting operations
Limit what an agent can do with NOTION_ALLOWED_OPERATIONS (allowlist) and/or NOTION_BLOCKED_OPERATIONS (blocklist) — each a comma-separated list of group presets or exact operation names.
Preset | Expands to |
| every non-mutating operation |
| every mutating operation |
| operations whose purpose is removal ( |
| every operation in that family (read and write) |
Read-only deployment (most common):
{ "env": { "NOTION_TOKEN": "ntn_xxx", "NOTION_ALLOWED_OPERATIONS": "read" } }Everything except destructive ops:
{ "env": { "NOTION_BLOCKED_OPERATIONS": "destructive" } }Mix presets and individual ops:
{ "env": { "NOTION_ALLOWED_OPERATIONS": "read,append_blocks,add_page_comment" } }Rules: case-insensitive; unknown tokens ignored with a warning; blocklist wins; an allowlist that resolves to zero operations disables everything (fail-closed). Disabled operations disappear from the tools' operation enums, from notion_describe and from the notion://operations menu, so a call naming one fails validation before it runs; when no write operation is enabled (NOTION_READ_ONLY, or an allowlist of reads) notion_write is not advertised at all.
On startup the server logs one line to stderr summarizing what resolved — check it first if the config doesn't behave as expected:
Operation access: 22/48 enabled (allow=read; block=(none))Confirm instead of block. NOTION_CONFIRM_DESTRUCTIVE=true keeps destructive operations enabled but makes notion_write ask you before running one, through MCP elicitation: a yes/no dialog in your client that names the operation and its target — the page, database, data source or block title when one retrieve can fetch it (bounded to 5 s), otherwise the id; for a batch, how many items. Restores (restore_page, delete_database / delete_data_source with in_trash: false) and a batch_mixed_blocks call with no delete entry do not prompt, and a blocked operation is still rejected with operation_not_allowed before anyone is asked. Decline, cancel or answer no and the call returns confirmation_declined; the server instructions tell the model not to retry it and to ask you instead. A client that has not declared the elicitation capability gets confirmation_unavailable rather than a silent run — use a client that supports elicitation, unset the variable, or block destructive operations outright with NOTION_BLOCKED_OPERATIONS=destructive.
Domain | Read | Write |
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† = also in the destructive group.
Limitations (control is per-operation, not per-parameter): update_page_markdown is a write op that can replace a page body, and blocking destructive does not disable it. For a guaranteed no-mutation deployment use NOTION_ALLOWED_OPERATIONS=read or NOTION_READ_ONLY=true. MCP prompts may still mention disabled operations, but execution is rejected.
Files
Uploads. upload_file takes its bytes as base64, a public url, or a local path the server reads directly. A path source can read any file the server process can, so when a model composes the path set NOTION_UPLOAD_ROOT to confine it: relative paths resolve inside the root, and symlinks are resolved before the check so they cannot point out of it.
File URLs. Notion mints a fresh signed S3 URL for every hosted file on every read — about 1,650 characters (~500 tokens), valid for an hour, different each time, and easy for a small model to mangle. NOTION_FILE_URLS=ref replaces them in the slim responses (get_page, search_pages, query_database, query_view, get_block, get_block_children, …) with short, stable refs:
Ref | Names |
| The file in an image block |
| One entry of a page's |
Two read operations turn a ref back into content. Both re-read the object through the Notion API, so a ref stays valid for as long as the file does:
Operation | Payload | Returns |
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| The image itself as MCP image content, so the model can look at it. Only |
get_image fetches only the URL Notion returned for a Notion-hosted file, never a URL supplied by the caller — so it cannot be steered at a LAN, a cloud metadata endpoint, or an exfil host. External URLs (linked images, external files) are short and stable already: they pass through untouched in either mode, and get_image returns them as text rather than fetching them. get_page_markdown is Notion's own rendered markdown and is not rewritten. The default, full, leaves every response as before.
🌐 Remote / HTTP transport
By default the server speaks stdio (the local path above). To run it as a remote/hosted endpoint — web clients, networked agents, shared deployments — set MCP_TRANSPORT=http:
MCP_TRANSPORT=http PORT=3000 NOTION_TOKEN=ntn_xxx npx -y notion-mcp-server
# -> notion-mcp-server vX.Y.Z running on http://127.0.0.1:3000/mcpIt serves MCP Streamable HTTP at POST/GET/DELETE /mcp (stateful sessions via the mcp-session-id header) plus an unauthenticated GET /health. It's single-tenant — every request acts as the one NOTION_TOKEN the process started with.
env | default | meaning |
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| set to |
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| listen port ( |
|
| bind address; set |
| — | when set, every |
| localhost + bound host | comma-list for DNS-rebinding |
| localhost origins | comma-list for browser |
⚠️ Whoever reaches
/mcpacts as yourNOTION_TOKEN. On loopback (the default) that's just local processes. Before binding a non-loopbackHOST, setMCP_AUTH_TOKEN(the server warns if you don't) and/or front it with an authenticating reverse proxy.
Connect from clients that support headers (Claude Code, Cursor, VS Code):
claude mcp add --transport http notion https://your-host/mcp \
--header "Authorization: Bearer <MCP_AUTH_TOKEN>"Try it locally:
curl http://127.0.0.1:3000/health
# -> {"status":"healthy","transport":"http","port":3000}
npx @modelcontextprotocol/inspector --transport http --server-url http://127.0.0.1:3000/mcpIn Docker:
docker run --rm -e NOTION_TOKEN=ntn_xxx -e MCP_TRANSPORT=http -e HOST=0.0.0.0 -e MCP_AUTH_TOKEN=change-me \
-p 3000:3000 ghcr.io/awkoy/notion-mcp-serverHOST=0.0.0.0 is what makes the published port reachable — inside the container 127.0.0.1 is the container's own loopback — and a non-loopback bind is exactly where MCP_AUTH_TOKEN matters.
Health check. The image ships without a HEALTHCHECK: it starts in stdio mode, where nothing listens, so a built-in probe of /health would mark every stdio container unhealthy. For an HTTP deployment add one yourself — the same command sits in the Dockerfile, commented out:
docker run --rm -e NOTION_TOKEN=ntn_xxx -e MCP_TRANSPORT=http -e HOST=0.0.0.0 -e MCP_AUTH_TOKEN=change-me \
-p 3000:3000 \
--health-cmd "node -e \"fetch('http://127.0.0.1:'+(process.env.PORT||3000)+'/health').then(r=>process.exit(r.ok?0:1)).catch(()=>process.exit(1))\"" \
--health-interval 30s --health-timeout 3s --health-start-period 5s --health-retries 3 \
ghcr.io/awkoy/notion-mcp-serverOr in Compose:
services:
notion-mcp-server:
image: ghcr.io/awkoy/notion-mcp-server:latest
environment:
NOTION_TOKEN: ${NOTION_TOKEN:?NOTION_TOKEN is required}
MCP_TRANSPORT: http
HOST: 0.0.0.0
MCP_AUTH_TOKEN: ${MCP_AUTH_TOKEN:?MCP_AUTH_TOKEN is required}
ports: ["3000:3000"]
healthcheck:
test: ["CMD", "node", "-e", "fetch('http://127.0.0.1:'+(process.env.PORT||3000)+'/health').then(r=>process.exit(r.ok?0:1)).catch(()=>process.exit(1))"]
interval: 30s
timeout: 3s
start_period: 5s
retries: 3🌟 Features: what this Notion MCP server does
Three-tool surface —
notion_read(look),notion_write(change),notion_describe(learn the shape). Each tool'soperationis an enum of what it runs, so the tool list is the menu and your client can auto-approve reads while writes still ask.Universal batch envelope — every mutating op accepts
{ items: [...], atomic?, idempotency_key?, concurrency? }with per-item validation and results.Atomic batches with best-effort rollback —
atomic: trueaborts on first failure and archives anything created earlier in the batch.Idempotency keys — same
(operation, idempotency_key)returns the cached result for 5 minutes. Safe to retry on flaky networks.Rate-limit + retry baked in — token-bucket limiter (3 req/s default,
NOTION_RATE_LIMITto change) with exponential backoff on 429/5xx/timeouts, honoringRetry-After.Self-healing validation errors — failures return
{ schema, example, fix }so the model corrects bad payloads in one round-trip.Markdown everywhere —
create_page/append_blocks/update_block/ comment bodies accept amarkdownstring (full GFM: headings 1–4, lists, nested to-dos, blockquotes, fenced code with language detection, tables, images, dividers, inline formatting), plus full round-trip viaget_page_markdown/update_page_markdown.Notion templates —
create_pagecan apply a data source's template (template: { type: "template_id" | "default" }), withlist_data_source_templatesto discover template IDs.Database views — list/get/query/create/update/delete views;
query_viewruns a view's stored filters/sorts and returns hydrated rows.Plain property values — a database row's properties take plain values:
{ Status: "Done", "Due Date": "2026-10-01", Tags: ["a", "b"], Done: true, Notes: null }. The server reads the data source's schema (cached for 5 minutes) and types each value;titlealways addresses the title property, an unknown property name orstatusoption is rejected with the valid names, and the full Notion shapes still work.get_data_sourcelistsselect/multi_select/statusoptions inline.Typed
wherefilter shorthand —query_databasetakes{ Status: "Done", Priority: { in: ["High", "Medium"] }, OR: [...] }, resolves each property's type from the data source's schema and compiles it to Notion filter JSON;sorts: ["-Due Date"]sorts descending. Rawfilter/ object sorts still accepted.Warnings, not rejections — an unknown top-level field is ignored, the call still runs, and the result's
warningsnames the field and the fields the operation accepts; a property name that differs only in case is corrected with a warning. No extra round-trip when the rest of the payload was right.Slim responses + flattened rows — noisy fields dropped by default,
query_databaserows flattened to name → primitive maps, compact JSON wire format (~30% smaller).verbose: trueopts out per call.File uploads — single-part and multi-part (5 MB chunks) transparently; MIME inferred from filename.
Short file refs + image reads —
NOTION_FILE_URLS=refswaps Notion's ~500-token signed file URLs fornotion-file:refs;get_file_urlmints a fresh URL andget_imagereturns the picture as MCP image content. See Files.Opt-in auto-pagination —
paginate: trueonsearch_pages/list_comments/query_databasewalksnext_cursorfor you (default cap ≈ 1000 items).HTTP(S) proxy support — standard
HTTPS_PROXY/HTTP_PROXYenv vars for corporate networks.Access control —
NOTION_READ_ONLYone-switch read-only mode plus per-operation allow/block lists.
📚 MCP tools (notion_read, notion_write & notion_describe)
The server exposes exactly three MCP tools — your client loads three schemas regardless of which of the 47 operations gets called. notion_read runs the read operations and notion_write the write operations; each tool's operation field is an enum of exactly the operations enabled on this server, so the menu ships with the tool list, a client can validate a call before sending it, and a name sent to the wrong tool fails in one round-trip with a message naming the right one.
Per-tool permissions
MCP clients grant permissions by tool name, so the split lets you approve reads once and keep writes behind a prompt. In Claude Code (~/.claude/settings.json or the project's .claude/settings.json, with notion being whatever you named the server):
{
"permissions": {
"allow": ["mcp__notion__notion_read", "mcp__notion__notion_describe"]
}
}Cursor's MCP settings offer the same per-tool allowlist. notion_read is annotated readOnlyHint: true and notion_write destructiveHint: true, for clients that read annotations.
notion_read
{ operation, payload } for any read operation — search, page and block reads, database queries, users, comments, files.
{ "operation": "search_pages", "payload": { "query": "Q3 plan" } }// a page as markdown, addressed by the link Notion copies
{
"operation": "get_page_markdown",
"payload": { "page_id": "https://www.notion.so/Q3-plan-1f3c1a2b3c4d5e6f7a8b9c0d1e2f3a4b" }
}notion_write
{ operation, payload } for any write operation, where payload is a single object or { items: [...] } for batch mode.
// single call
{
"operation": "set_page_title",
"payload": { "page_id": "<page-id>", "title": "Q3 plan" }
}Every id field (page_id, block_id, database_id, view_id, …) also accepts a Notion URL — paste what Share → Copy link gives you and the server extracts the id. A block link's #fragment is used for block_id fields and a database link's ?v= for view_id fields.
// batch
{
"operation": "set_page_title",
"payload": {
"items": [
{ "page_id": "<p1>", "title": "First" },
{ "page_id": "<p2>", "title": "Second" }
],
"atomic": false,
"concurrency": 3,
"idempotency_key": "rename-pass-2026-07-02"
}
}// markdown shortcut (create_page, append_blocks, update_block, update_page_markdown)
{
"operation": "create_page",
"payload": {
"parent": { "type": "page_id", "page_id": "<parent>" },
"title": "Notes",
"markdown": "# Heading\n\n- [ ] todo\n- [x] done\n\n```ts\nconst x = 1;\n```"
}
}// a database row: plain property values, typed from the data source's schema
{
"operation": "create_page",
"payload": {
"parent": { "type": "data_source_id", "data_source_id": "<data-source-id>" },
"title": "Write the report",
"properties": { "Status": "In Progress", "Priority": "High", "Due Date": "2026-10-01", "Tags": ["q3", "docs"] }
}
}// upload a file and place it on a page in one call
{
"operation": "upload_file",
"payload": {
"source": { "type": "path", "path": "~/Desktop/chart.png" },
"attach_to": { "block_id": "<page-or-block-id>", "caption": "Q3 revenue" }
}
}If a payload doesn't validate, the error response includes the operation's full JSON Schema, a working example, and a fix hint — the next call can be corrected without a notion_describe round-trip.
notion_describe
Returns the JSON Schema + working example for one operation, plus tool (which of the two runs it) — useful before complex calls (filter expressions, mixed block batches, database property definitions).
{ "operation": "query_database" }Operations menu (47 ops, plus one alias)
Read operations (get_*, list_*, search_pages, query_database, query_view) go through notion_read; everything else through notion_write. The notion://operations resource lists the tool next to each operation.
Area | Operations |
Pages |
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Blocks |
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Databases |
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Data sources |
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Views |
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Comments |
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Users |
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Files |
|
The authoritative list (with batchability) is served as an MCP resource at notion://operations.
MCP resources
Clients that support resource attachment (@-mention) can pull Notion content into context without a tool call:
Resource URI | Returns |
| Markdown cheat sheet of every enabled operation |
| Page body as markdown |
| Data source schema as JSON |
Dynamic resources route through the same auth, rate limiting, and access gating as tool calls.
❓ Troubleshooting the Notion MCP server
object_not_found/ "Could not find …" — an Internal Integration token only sees pages explicitly Connected to it. Switch to a PAT to skip per-page sharing."Notion auth failed" on every call — token missing, revoked, or expired (PATs expire after 1 year). Check
NOTION_TOKENin your client config, then confirm the token is still listed as Active at app.notion.com/developers/tokens."No parent page configured" — pass
parentin the call, or setNOTION_PAGE_ID.multi_source_databasefromquery_databaseorcreate_page— the database has multiple data sources. Calllist_data_sources, then passdata_source_id(or adata_source_idparent) instead ofdatabase_id.A successful result carries
warnings— the call ran; each entry names a field that was ignored (misspelt or misplaced) or a property name that was corrected. Fix the payload next time, nothing to retry.Tools don't appear in Claude Desktop — token typo (must stay inside the quotes) or the app wasn't fully quit (
Cmd+Q, not window close) before reopening.Startup logs "Notion auth check failed" but tools work — the startup check is best-effort; ignore if calls succeed.
Docker exits immediately / "Connection closed" — the
-iflag is required:docker run --rm -i ….Docker: "NOTION_TOKEN is not set" despite
-e— use-e NOTION_TOKEN(forwards from parent env) or-e NOTION_TOKEN=ntn_xxx, not-e NOTION_TOKEN ntn_xxx.
Still stuck? GitHub Issues · Notion API reference · MCP spec
💬 FAQ: Notion MCP server
What is the Notion MCP server and how does it work?
A Model Context Protocol server that connects AI assistants — Claude, Cursor, VS Code Copilot, Cline, Zed, Continue, anything that speaks MCP — to your Notion workspace. It runs locally (or in Docker, or as an HTTP endpoint) and exposes three MCP tools the AI calls to read, write and inspect Notion operations. You authenticate once with a Notion token; everything else is natural language.
How do I connect Claude to Notion using MCP?
See the Quick start: get a PAT at app.notion.com/developers/tokens, then one claude mcp add command (Claude Code) or one JSON paste (Claude Desktop). Non-developers: the complete walkthrough assumes nothing.
What's the difference between this and Notion's official MCP?
Notion's hosted MCP (mcp.notion.com) is OAuth-only and built for interactive chat — it can't run headless (Notion says non-interactive authorization is in the works, but not yet). Their open-source server is, in Notion's words, "no longer actively maintained" and exposes one tool per endpoint. This server authenticates with a token (works in CI/automation), exposes 2 tools dispatching 47 operations, batches mutations with idempotency and retries, and slims responses to cut token cost. See Which Notion MCP should you use?.
Can I use it with Cursor, VS Code, ChatGPT, or Cline?
Cursor, VS Code (Copilot agent mode), Cline, Zed, Continue: yes — install badges and config blocks are in the Quick start. ChatGPT's built-in connectors require OAuth-hosted servers, so use Notion's hosted MCP there; developers can still reach this server from the OpenAI API's mcp tool by pointing it at a self-hosted HTTP endpoint with a bearer token.
Is it safe to give an AI my Notion token?
The token lives in your MCP client's local config and is only sent to api.notion.com over HTTPS. The server is open source — read every line. A PAT has the same access you do, so don't paste it into untrusted clients, and revoke it at app.notion.com/developers/tokens if a laptop is lost. For agents that should never write, set NOTION_READ_ONLY=true.
Does it work with self-hosted or local-only LLMs?
Yes — anything that speaks MCP stdio (or Streamable HTTP) works. The server doesn't care what's on the other side of the protocol.
🔒 Privacy
The server runs on your machine or your own host and talks only to api.notion.com, over HTTPS, with the token you configure. There is no telemetry, no analytics, and no server of ours in the path: nothing you read or write in Notion goes anywhere else. The token stays where your MCP client keeps it (its config file, or a keychain / secret store for clients that have one). With HTTPS_PROXY set, traffic goes through your proxy instead. get_image fetches only the signed URLs Notion returns for files it hosts, never a URL supplied by the model, and upload_file reads a local file only when asked to, inside NOTION_UPLOAD_ROOT when that is set. Notion's own handling of your data is covered by Notion's privacy policy.
🛠 Development
git clone https://github.com/awkoy/notion-mcp-server.git
cd notion-mcp-server
npm install
echo "NOTION_TOKEN=ntn_xxx" > .env
npm run build # tsc -> build/
npm test # vitest suite
npm run inspector # MCP inspector against the built binaryLocal build instead of npx:
claude mcp add notion -s user \
-e NOTION_TOKEN=ntn_xxx \
-- node "$(pwd)/build/index.js"Everything the server logs goes to stderr, as before, and is also sent to the client as MCP notifications/message entries (logger notion-mcp-server), so it shows up in the client's own log view — VS Code's output channel, MCP Inspector, Claude Desktop's logs — where stderr is usually hidden. The server honours logging/setLevel; the default is info. At debug you also get one line per notion_read / notion_write call (operation, batch size, duration, ok or error — never the payload or page content).
TypeScript + MCP TypeScript SDK v2 (
@modelcontextprotocol/server+@modelcontextprotocol/node2.0.0); stdio + Streamable HTTP transportsNotion SDK
@notionhq/client@^5.22.0, pinnedNotion-Version: 2026-03-11Zod 4 payload validation; emits draft-7 JSON Schema with
$defsdeduplication for error envelopesMarkdown → Notion blocks via
remark/remark-gfmBounded-concurrency batch worker (default 3, max 10); shared token-bucket rate limiter;
withRetrywith exponential backoff around every dispatched callIn-memory idempotency cache (5-minute TTL, 512 entries)
Slim shapers per entity type with
verbose: trueopt-outVitest suite covering the markdown parser, shapers, schema emitter, dispatcher, batch semantics (partial success / atomic rollback / idempotency), access control, and HTTP transport
End-to-end smoke test
npm test runs against a mocked Notion client. scripts/e2e.mjs drives the built server over stdio against a real workspace — every read operation, the resources and prompts, notion_describe for every operation, and (with --write) every write operation inside one throwaway page:
npm run build
printf 'NOTION_TOKEN=ntn_...\nNOTION_PAGE_ID=<page the token can write under>\n' > .env # gitignored
npm run e2e # read-only pass
npm run e2e -- --write # full pass; creates one page under NOTION_PAGE_ID and trashes it at the end
npm run e2e -- --write --keep # keep the test page for inspectionIt prints a PASS/FAIL table per check and lists any operation the run did not reach, and exits non-zero on a failure. It is not part of CI.
🤝 Contributing
PRs welcome. Fork → branch → commit → push → PR. Run npm test before submitting.
📄 License
MIT — see LICENSE.
mcp-name: io.github.awkoy/notion-mcp-server
Available Tools
2 toolsnotion_describeNotion DescribeARead-only
Return the JSON Schema and a working example for one operation. Use this BEFORE notion_execute when the payload shape is non-trivial (query filters, structured block trees, database property definitions). For simple ops, just call notion_execute — its errors carry the schema.
| Name | Required | Description | Default |
|---|---|---|---|
| operation | Yes | Operation name to describe. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint=true; description adds that it returns schema and example without contradicting. No additional behavioral traits needed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, no wasted words, information front-loaded. Every sentence adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with one parameter and no output schema, the description fully explains what it returns and when to use it. Complete and appropriately sized.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% for the single parameter, so baseline is 3. Description adds no additional meaning beyond the schema, which is sufficient.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description explicitly states it returns 'JSON Schema and a working example for one operation', which clearly defines the action and resource. It also distinguishes from the sibling tool notion_execute.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides clear guidance: use BEFORE notion_execute for non-trivial payloads, otherwise just call notion_execute. Includes explicit alternatives and when-not-to-use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
notion_executeNotion ExecuteADestructive
Execute a Notion operation by name.
Two ways to call: • Single: { operation: "set_page_title", payload: { page_id, title } } • Batch: { operation: "set_page_title", payload: { items: [{page_id, title}, ...], atomic?: false, idempotency_key?: "...", concurrency?: 3 } }
If the payload is malformed, the error response includes the full schema + a working example so you can correct and retry in one round-trip. Call notion_describe(operation) ahead of time only for complex shapes (query_database filters, batch_mixed_blocks).
Most responses are slimmed by default. Pass verbose:true inside payload (single) or per-item (batch) to get the raw Notion SDK response.
| Name | Required | Description | Default |
|---|---|---|---|
| payload | Yes | Operation parameters. Pass either single-op fields directly, or { items: [...], atomic?, idempotency_key?, concurrency? } for batch. | |
| operation | Yes | Operation name. See notion_describe for the schema of any operation, or read the notion://operations resource for the full menu. Common ops: set_page_title, append_blocks, get_page, search_pages, query_database. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Discloses default slimmed responses, optional verbose mode, batch features (atomic, idempotency_key, concurrency), and error response behavior. Annotations indicate destructiveHint=true and openWorldHint=true, and the description adds valuable operational context without contradiction.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured with bullet points and front-loaded purpose. While every sentence adds value, it could be slightly more concise, but it remains efficient for the complexity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a complex, open-world tool with no output schema, the description thoroughly covers usage patterns (single/batch), response behavior (verbose, slimmed), error handling, and links to companion tool notion_describe. No gaps remain.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% but the description enriches both parameters: 'operation' links to notion_describe and lists common ops; 'payload' explains single vs batch structure and optional flags (verbose, atomic, etc.), adding substantial meaning beyond schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Execute a Notion operation by name' and provides concrete examples of single and batch calls. It distinguishes itself from the sibling notion_describe tool, making the purpose unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly advises when to use notion_describe ('for complex shapes') and when to use this tool directly. Also explains how to handle malformed payloads with automatic schema feedback, guiding effective retries.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
15 tool updates
v1.0.1- Removed
append_block_children - Removed
archive_page - Removed
batch_append_block_children - Removed
batch_delete_blocks - Removed
batch_mixed_operations - Removed
batch_update_blocks - Removed
create_page - Removed
delete_block - Added
notion_describe - Added
notion_execute - Removed
restore_page - Removed
retrieve_block - Removed
retrieve_block_children - Removed
search_pages - Removed
update_block
13 tool updates
v1.0.0- First observed
append_block_children - First observed
archive_page - First observed
batch_append_block_children - First observed
batch_delete_blocks - First observed
batch_mixed_operations - First observed
batch_update_blocks - First observed
create_page - First observed
delete_block - First observed
restore_page - First observed
retrieve_block - First observed
retrieve_block_children - First observed
search_pages - First observed
update_block
TDQS
The two tools have distinct, complementary roles: notion_describe provides schema guidance for complex payloads, while notion_execute performs the actual operations. No overlap in purpose.
Both tools follow a clear 'notion_' prefix with a verb (describe/execute), maintaining a consistent naming pattern.
With only 2 tools, the server feels minimal for a comprehensive Notion API wrapper. However, the design centralizes operations into notion_execute, which could be suitable if the goal is a thin execution layer.
The tool surface lacks explicit representation of common Notion operations (e.g., query database, create page, list blocks). All operations are hidden behind the generic notion_execute tool, making it hard for agents to discover capabilities without external documentation.
Maintenance
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