Refero MCP
OfficialRefero MCP lets you search, explore, and generate design assets from the styles.refero.design catalog.
Natural-language search (
refero_search): Query the catalog with vibe-based plain English (e.g., "dark editorial with serif", "playful neobrutalist saas") using OpenAI embeddings for semantic ranking or BM25-lite keyword scoring as a fallback. Supports filtering by theme (light/dark) and tags.Fetch full design system (
refero_get): Retrieve complete design system details for a style by UUID, hostname/URL (e.g.,cursor.com), or site name (e.g.,"Cursor"), with fuzzy name matching.Generate DESIGN.md (
refero_design_md): Render a style as a structured markdown file with frontmatter, north star summary, color tables, fonts, and dos/don'ts. Optionally saves the file directly to a project folder in your configured vault.Find similar styles (
refero_similar): Get Refero's own recommendations for styles similar to a given one, useful for exploring alternatives.Browse catalog (
refero_list): Page through the locally mirrored catalog with optional filtering by theme and tags (ordered newest first, then by site name).Refresh catalog (
refero_refresh): Force a full re-fetch of all styles from styles.refero.design, bypassing the default 24-hour cache TTL.
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., "@Refero MCPFind a dark editorial style with a serif font."
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.
Refero MCP
Search styles.refero.design in plain English and drop a DESIGN.md into any project.
Quick Navigation
Link | Section | What it does | Time |
Overview | The catalog, the gap, the wrap | ~1 min | |
Setup | One line into Claude Code | ~1 min | |
Talk to it | Plain-English prompts | ~2 min | |
Reference | The six tools, one line each | ~1 min | |
Setup | Env vars + JSON config | ~1 min | |
Reference | Cache, embeddings, DESIGN.md generation | ~1 min | |
Reference | The likely first three problems | ~1 min | |
Meta | MIT | — |
Related MCP server: Design System MCP Server
What this is
Refero Styles is a beta catalog of about 200 curated sites where someone has done the painful work of pulling out the colors, typography, spacing, and per-style do/don't guidance. Each entry ships with a designSystem block that's basically a DESIGN.md waiting to happen.
This MCP wraps that catalog so Claude Code can search it in natural language and drop a generated DESIGN.md straight into whatever project you're scaffolding. No browser-tab JSON copy-paste, no hand-rolled token tables.
It's for anyone using Claude Code to spin up a new app, deck, or client project who wants the design language locked down before the first component renders.
Quick install
One line:
claude mcp add refero -- npx -y fidgetcoding-refero-mcpRestart Claude Code and start describing the look you want.
If you want vibe search (semantic ranking against each style's poetic northStar summary), pass an OpenAI key:
claude mcp add refero --env OPENAI_API_KEY=sk-... -- npx -y fidgetcoding-refero-mcpWithout it, search falls back to keyword scoring. Works fine, just less magical.
For claude_desktop_config.json users:
{
"mcpServers": {
"refero": {
"command": "npx",
"args": ["-y", "fidgetcoding-refero-mcp"],
"env": {
"OPENAI_API_KEY": "sk-...",
"REFERO_MCP_VAULT_DIR": "/absolute/path/to/your/vault"
}
}
}
}Usage
You talk. Claude dispatches. No commands, no syntax, no JSON.
Every tool here is wired to plain-English prompts. You don't memorize tool names or build payloads — Claude picks the tool and fills in the parameters.
A few prompts that route cleanly:
"Find me a dark editorial style with a serif and a warm accent.""Pull the full breakdown for Linear.""What's similar to Vercel in the Refero catalog?""Render Cursor's DESIGN.md — don't save it yet, just show me.""Save Cursor's DESIGN.md into my ACME project.""Show me only dark-mode brutalist styles, top five.""Refresh the Refero catalog before we start the design pass."More worked recipes in docs/USAGE.md.
Tools
Tool | What it does |
| Natural-language vibe search across the catalog. Embeddings if |
| Fetch the full design system for one style. Accepts a uuid, hostname (e.g. |
| Refero's own "similar styles" ranking for a given style. Free recommendations from the upstream. |
| Browse the local catalog mirror with optional theme/tag filters. Stably ordered. |
| What's actually in the catalog — ranked font stacks, color names, theme counts. Call it before guessing search terms: there is no tag taxonomy, so invented tags match nothing, but every value this returns is already in the search index and can be passed straight to |
| Render a style as an agent-friendly DESIGN.md (frontmatter, north star, color table, dos/donts). Optionally writes to disk. |
| Force a full re-fetch of the catalog and overwrite the local mirror. Skips the 24h TTL. |
Configuration
Everything is optional. Defaults are picked so the MCP just runs.
Variable | Required | Default | What it does |
| No | unset | Enables vibe search via |
| No |
| Override if Refero ever moves the API or you're pointing at a fixture. |
| No |
| Where the local catalog mirror, embeddings, and detail cache live. |
| No |
| How long a cached page is considered fresh. |
| No (required for project writes) | unset | Absolute path to the vault root that |
A copy-paste .env.example ships in the repo root.
There's no default for
REFERO_MCP_VAULT_DIR. The previous draft hardcoded my laptop path, which worked great for exactly one machine on Earth. The reviewer caught it. Now if you don't set it, the tool just refuses to write — rude, but better than dropping files into a folder that doesn't exist on your computer.
How it works
There is no public Refero API doc as of writing — the shape was mapped empirically against the live site. The full breakdown is in docs/api-surface.md so future-me doesn't re-discover it.
Local catalog mirror. Refero exposes
?page=Npagination but silently ignores?search=,?q=, and?colorScheme=. So this MCP walks the pages once, mirrors them locally underREFERO_CACHE_DIR, and runs all filtering and ranking client-side.Vibe search via
northStar. Every Refero style ships with a one-line poetic summary callednorthStar. WithOPENAI_API_KEYset, the MCP embeds those summaries withtext-embedding-3-smalland ranks by cosine similarity to your query. Without a key, it falls back to keyword scoring onnorthStar+ tags + site name.DESIGN.md generated locally. Refero does not expose a
/design.mdendpoint. The MCP synthesizes one fromstyle.fullResult.designSystem(dos, donts, tags, theme, role-tagged colors). Output is compatible with the/stitch-design-tasteand/design-taste-frontendskills.
Troubleshooting
"No styles found" / catalog feels empty. First-run hits a cold cache. Ask Claude to "refresh the Refero catalog" once — it walks the ~10 pages with a polite 250ms gap and writes them to REFERO_CACHE_DIR. After that, search is instant.
Search results feel keyword-y rather than semantic. You probably don't have OPENAI_API_KEY set. Add it to your MCP config and restart, or lean harder on the catalog's vocabulary (industries plus tags like editorial, brutalist, glass).
refero_design_md returns markdown but won't write to disk. REFERO_MCP_VAULT_DIR is unset. Set it to your vault root (absolute path) and the tool will write to <vault>/05-Projects/<NAME>/DESIGN.md. Without it, you get the markdown back in conversation and can paste it wherever.
License
MIT — see LICENSE for details.
Author
Built by Nate Davidovich / Lorecraft LLC.
GitHub: lorecraft-io
npm: lorecraft
Sister projects: morgen-mcp, motion-mcp
Security: gitleaks scan
This repo ships with a .gitleaks.toml config and a scripts/security-scan.sh
helper that scans the working tree for secrets (GitHub tokens, API keys, JWTs,
private keys, Anthropic keys, etc.).
bash scripts/security-scan.shA .husky/pre-commit hook also runs gitleaks protect --staged on every commit
and warn-no-ops if gitleaks isn't installed locally.
If you don't have it yet:
macOS:
brew install gitleaks
Available Tools
6 toolsrefero_design_mdA
Render a Refero style as an agent-friendly DESIGN.md (frontmatter, north star, color table, fonts, dos/donts, tags). When save_to_project is set, writes the file to /05-Projects//DESIGN.md.
| Name | Required | Description | Default |
|---|---|---|---|
| identifier | Yes | uuid, hostname/URL, or site name to render. | |
| save_to_project | No | Vault project folder name (e.g. "PARZVL"). Sanitized; must be [A-Za-z0-9_.-]. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description discloses the side effect of writing a file when save_to_project is set and specifies the file path. However, it does not detail overwrite behavior, error handling, or permission requirements, leaving some behavioral ambiguity.
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 concise sentences: first states purpose and content, second adds conditional behavior. No superfluous information, efficiently communicates core functionality.
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 tool with two parameters and no output schema, the description explains the main action and optional save. It could mention that it generates a document without modifying the original style, but overall it is sufficient for an agent to understand what the tool does.
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?
The input schema already has 100% coverage with clear descriptions. The tool description adds context by explaining the file path construction from save_to_project, going beyond the schema. Good addition but not essential.
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 the tool renders a Refero style as a DESIGN.md file with specified contents (frontmatter, north star, etc.) and optionally writes it to a project folder. This distinguishes it from sibling tools that retrieve, list, or search styles.
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?
The description explains what the tool does but lacks explicit guidance on when to use it over alternatives like refero_get or refero_search. No when/ when-not or comparison to siblings is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
refero_getA
Fetch the full design system for a single style. Accepts a uuid, a hostname/URL (e.g. cursor.com), or a site name (e.g. "Cursor"). Fuzzy-matches site names within Levenshtein distance 2.
| Name | Required | Description | Default |
|---|---|---|---|
| identifier | Yes | uuid, hostname/URL, or site name. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses fuzzy matching behavior and acceptable input types. It does not explicitly state the tool is read-only or describe failure modes (e.g., no match found), but the intention is clear and no contradictions exist.
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 redundancy, front-loaded with the primary action. Every word adds value—first sentence states purpose, second sentence details input flexibility and matching algorithm.
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?
Given no output schema, the description could mention what the tool returns (e.g., JSON object of the design system), but for a simple fetch operation, the description is sufficiently complete. The context of sibling tools helps, and the tool is straightforward.
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?
The input schema already describes the 'identifier' parameter as 'uuid, hostname/URL, or site name' (100% coverage). The description adds value by explaining fuzzy matching (Levenshtein distance 2) and giving an example, which goes beyond the schema's basic description.
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 the tool fetches "the full design system for a single style," specifying the verb 'Fetch' and the resource 'full design system for a single style'. It distinguishes itself from sibling tools like refero_list (list all), refero_search (search), and refero_similar (find similar), which have different purposes.
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?
The description explicitly lists acceptable input formats (uuid, hostname/URL, site name) and provides an example ("Cursor"). It also mentions fuzzy matching with Levenshtein distance 2, giving clear guidance on how the identifier will be resolved, which helps the agent choose correct inputs.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
refero_listA
Browse the local catalog mirror with optional theme/tag filters. Returns paginated, stably-ordered results (newest first, then site name).
| Name | Required | Description | Default |
|---|---|---|---|
| theme | No | Filter to light- or dark-themed sites only. | |
| tags | No | Filter by tag terms (matched against siteName + northStar in the catalog projection). | |
| page | No | 1-indexed page number (default 1). | |
| limit | No | Items per page (default 20, max 50). |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description must cover behavior. It mentions read-like operation ('browse') and stable ordering, but does not disclose caching, rate limits, or whether the mirror is synced. Adequate but minimal.
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. Purpose and key details are front-loaded, making it easy to parse.
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?
Covers pagination, ordering, and filters. No output schema exists, but description could mention return structure. Still, given the tool's simplicity and thorough schema descriptions, it is largely complete.
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 already describes all 4 parameters with 100% coverage. Description adds no additional meaning beyond restating 'optional theme/tag filters' and pagination. Baseline 3 is appropriate.
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?
Description clearly states the tool browses a catalog mirror with optional filters and pagination. Verb 'browse' and resource 'local catalog mirror' are specific, and the ordering detail distinguishes it from sibling tools like refero_search.
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?
Implies usage for browsing/filtering the catalog, but does not explicitly compare with alternatives (e.g., refero_search for full-text search, refero_similar for similar sites). No guidance on 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.
refero_refreshA
Force a full re-fetch of the styles.refero.design catalog and overwrite the local mirror. Useful after the catalog has changed and you don't want to wait for the 24h TTL.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Discloses destructive behavior (overwrite local mirror) but lacks details on authorization, side effects, rate limits, or synchronous/asynchronous nature. No annotations to supplement.
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 efficient sentences: first states action, second provides use case. No fluff, perfectly front-loaded.
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?
Given zero parameters and no output schema, description adequately explains purpose and when to use. Lacks mention of return value or sync/async but sufficient for a simple refresh.
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?
Input schema has zero parameters, so description doesn't need to document any. Schema coverage is 100%. Baseline 4 for no parameters.
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?
Clearly states the action: force full re-fetch and overwrite local mirror. Specifies the resource (styles.refero.design catalog) and implies the verb 'refresh'.
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 explicit when-to-use: after catalog changes and wanting to avoid 24h TTL. Implies alternative is waiting or using other tools like refero_get for normal reads.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
refero_searchA
Natural-language search over the styles.refero.design catalog. Returns the top matches scored by an embedding model (when OPENAI_API_KEY is set) or a BM25-lite keyword fallback. The local catalog is mirrored on first call and refreshed automatically every 24 hours.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Natural-language vibe query, e.g. "playful neobrutalist saas". | |
| theme | No | Filter to light- or dark-themed sites only. | |
| tags | No | Filter to styles whose tags / name / northStar mention any of these terms. | |
| limit | No | How many results to return (default 10, max 50). |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, but the description discloses the search mechanism (embedding or BM25 fallback), caching behavior (mirrored on first call), and refresh policy (every 24 hours). This explains backend behavior adequately for a read-only search tool, though no side effects are mentioned.
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?
Three concise sentences covering purpose, algorithm, and caching. No redundant information; all sentences earn their place.
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?
Without an output schema, the description does not specify the structure of returned results (e.g., fields like name, tags, thumbnail). Also lacks details on how tag filtering interacts with the search. Adequate but has gaps.
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% with clear parameter descriptions. The description does not repeat parameter details but adds context about the search algorithm, which is separate from parameter definitions. Baseline 3 is appropriate.
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?
Clearly identifies the tool as a natural-language search over a specific catalog (styles.refero.design). It distinguishes from siblings like refero_list (listing) and refero_similar (similarity search) by emphasizing vibe-based search. The mention of embedding vs BM25 fallback adds specificity.
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?
Implies use for natural-language queries but does not explicitly state when to avoid this tool or prefer siblings. No direct comparison with sibling tools, leaving the agent to infer context from names.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
refero_similarA
Refero's own "similar styles" recommendation list for a given style. Useful for follow-up exploration once you've found a candidate via refero_search.
| Name | Required | Description | Default |
|---|---|---|---|
| identifier | Yes | uuid, hostname/URL, or site name. | |
| limit | No | How many similar styles to return (default 10, max 20). |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided; description does not disclose read-only nature, required permissions, or any side effects. Minimal behavioral info beyond purpose.
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 concise sentences with no fluff. First sentence states purpose, second gives usage context.
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?
No output schema; description does not hint at return format or pagination. However, tool is simple with good sibling context, so adequate but not complete.
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 covers both parameters with descriptions; description adds no extra meaning. Baseline 3 due to 100% schema coverage.
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?
Clearly states 'recommendation list for a given style' and distinguishes from siblings by referencing refero_search as a precursor.
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 says 'Useful for follow-up exploration once you've found a candidate via refero_search', which tells when to use it. Does not explicitly exclude alternatives, but context is sufficient.
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.
6 tool updates
v0.1.0- First observed
refero_design_md - First observed
refero_get - First observed
refero_list - First observed
refero_refresh - First observed
refero_search - First observed
refero_similar
TDQS
Each tool has a clearly distinct purpose: fetching details, browsing, searching, refreshing, getting recommendations, and generating design docs. No overlap in functionality.
All tools share the 'refero_' prefix and use lowercase with underscores, but the suffixes vary between verbs (get, list, refresh, search) and non-verbs (similar, design_md), causing slight inconsistency.
6 tools is well-scoped for interacting with a design system catalog, covering key operations without being too few or too many.
The tool set covers browsing, searching, fetching details, getting recommendations, refreshing the catalog, and generating documentation. Minor gaps like filtering by popularity are absent but core workflows are complete.
Maintenance
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If you are the server author, to access and configure the admin panel.
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