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Ninetn MCP Server

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MCP (Model Context Protocol) server for integrating with Ninetn - an AI-powered memo application.

This server provides MCP clients with tools to interact with Ninetn's memo system, enabling AI-assisted memo creation, retrieval, and search functionality.

Prerequisites

Related MCP server: MCP Server for Mem.ai

Available Tools

  • memo_create - Create new memos that require user approval before being saved

  • memo_get - Retrieve a specific memo by its ID

  • memo_list - List memos from a channel with pagination support

  • memo_search - Search memos by content with filtering options

Quick Start

Note: This package will be published to npm in the future for easier installation.

Currently, to use this MCP server:

  1. Build the MCP server:

npm install
npm run build
  1. Configure your MCP client:

Example for Claude Code - create .mcp.json:

{
  "mcpServers": {
    "ninetn": {
      "command": "npx",
      "args": ["-y", "ninetn-mcp-server"],
    }
  }
}

Note: Add "env": {"NINETN_API_URL": "http://your-custom-url"} only if your Ninetn server is not running on the default http://localhost:50019.

For other MCP clients, refer to their specific configuration documentation.

  1. Start your MCP client and use natural language:

"Create a memo about today's meeting"
"List recent memos from this channel"
"Search for memos containing 'project updates'"

Development

# Install dependencies
npm install

# Build
npm run build

# Development with watch mode
npm run dev

# Format code
npm run format

# Lint
npm run lint

# Test
npm run test

Testing

Test all tools functionality:

npm run test:all-tools

License

MIT

Available Tools

4 tools
memo_createA

Creates a new memo by AI assistant. Created memos require user approval and will be saved as regular memos after approval. Channel ID is optional, and the currently active channel is used when omitted.

ParametersJSON Schema
NameRequiredDescriptionDefault
contentYesMemo content (Markdown format)
metadataNoMetadata related to the memo (JSON string or object)
channelIdNoChannel ID to create memo in (defaults to currently active channel if omitted)
originalIdNoOriginal memo ID for ReMemo

TDQS

A4.2/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It explicitly reveals that memos require user approval before being saved and that the channel ID defaults to the currently active channel when omitted. This goes beyond basic operation description, though it does not cover all conceivable behaviors such as return values or error cases.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and well-structured, with three sentences that efficiently convey purpose, the approval requirement, and channel default behavior. It is front-loaded with the core action and contains no filler or redundant information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a create tool with no annotations and no output schema, the description covers the essential behavioral context: the creation action, the approval step, and the channel default. It does not describe the return value or potential failure modes, but those are less critical for a create operation compared to safety or filtering details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already provides descriptions for all four parameters (100% coverage), so the description does not need to compensate. It adds no significant parameter-specific details beyond what the schema states; the only additional nuance is the explanation of the approval workflow, which is not parameter-related.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function with a specific verb and resource: 'Creates a new memo by AI assistant.' It also distinguishes itself from sibling tools (get, list, search) by focusing on the creation action rather than retrieval or search operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for when to use the tool (creating a memo) and includes important usage details like the approval requirement and channel default behavior. However, it does not explicitly mention alternatives or when not to use this tool, which would make it a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

memo_getA

Retrieves a specific memo by its ID. Returns detailed memo information including content, metadata, and relationships.

ParametersJSON Schema
NameRequiredDescriptionDefault
memoIdYesID of the memo to retrieve

TDQS

A3.6/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description must fully disclose behavioral traits. It only mentions the return value ('detailed memo information including content, metadata, and relationships') but does not disclose side effects, permissions, error behavior, or read-only status. Minimal transparency beyond the return payload.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the core action and resource. Every word earns its place; no fluff or redundancy. Highly concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple single-parameter get operation, the description adequately covers the purpose and return value. The tool has no output schema, so mentioning 'content, metadata, and relationships' helps the agent understand the response. Missing error handling or not-found behavior is not critical for this simple tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with the memoId parameter described as 'ID of the memo to retrieve.' The description adds the adjective 'specific' but no additional semantic detail such as format or examples. Baseline 3 is appropriate when the schema already documents the parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: 'Retrieves a specific memo by its ID.' The verb 'retrieves' and the resource 'specific memo by its ID' distinguish it from siblings like memo_list (likely retrieves many) and memo_search (likely query-based).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when you have a memo ID and need detailed info, but it does not explicitly mention alternatives or when to use sibling tools. No exclusions or when-not-to-use guidance is provided, so the guidance remains implied rather than explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

memo_listA

Retrieves a list of memos from a specified channel. When no channel ID is provided, uses the currently active channel. Returns paginated results with memo information.

ParametersJSON Schema
NameRequiredDescriptionDefault
skipNoNumber of memos to skip for pagination (default: 0)
takeNoMaximum number of memos to return (default: 50)
channelIdNoChannel ID to retrieve memos from (defaults to currently active channel if omitted)

TDQS

A3.7/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must disclose behavioral traits. It mentions pagination and the channel defaulting, which are useful. However, it omits details on ordering, error behavior, permissions, or the exact structure of returned 'memo information', leaving some gaps for an agent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, front-loading the core action and adding relevant detail without redundancy. Every sentence earns its place, and it is clearly structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Without an output schema, the description should explain return values more thoroughly. It only vaguely says 'paginated results with memo information', leaving the agent to infer field names and pagination metadata. Given the tool's simplicity, this is a moderate gap, so a mid-range score is appropriate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3. The description adds the channel fallback context (already in schema) but does not enrich parameter meanings beyond what the schema provides, such as clarifying skip/take compounding or result shape. It is adequate but not additive.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as retrieving a list of memos, scoped to a channel with a fallback to the active channel. It distinguishes itself from siblings (memo_create, memo_get, memo_search) by focusing on list retrieval and pagination, 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.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains the channel fallback behavior, providing context on how to use the tool. However, it does not explicitly state when to use this tool over siblings like memo_get (for a single memo) or memo_search (for finding memos by criteria), leaving the decision purely inferential.

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.

  1. 4 tool updatesv0.1.3
    • First observedmemo_create
    • First observedmemo_get
    • First observedmemo_list
    • First observedmemo_search

TDQS

A4/5.0
Disambiguation5/5

Each tool has a distinct purpose: creating, retrieving by ID, listing from a channel, and searching by content. There is no overlap that would cause an agent to select the wrong tool.

Naming Consistency5/5

All tool names follow the same pattern of memo_<action>, using lowercase with underscores consistently. The verb-noun order is uniform across the set.

Tool Count5/5

With only four tools, the server is tightly scoped to core memo operations. Each tool adds a distinct capability, and the count is appropriate for a focused memo access server.

Completeness3/5

The tool set covers creation and retrieval (by ID, list, search) but lacks update and delete operations, which are common for a full memo lifecycle. This is a notable gap, though the current set could serve read-centric workflows.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

Unclaimed servers have limited discoverability.

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Related MCP Connectors

Related MCP Servers

  • A
    license
    Not graded
    quality
    D
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    Enables AI agents to interact with Memos instances for personal note-taking and knowledge management. Supports creating, searching, updating, and organizing memos with tags, dates, and visibility settings through natural language.
    MIT
  • F
    license
    A
    quality
    D
    maintenance
    Enables to interact with Memos note-taking service, allowing search, creation, retrieval, and updating of notes through natural language.
    4
    15
    4
    -

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