mcp-docs-tools

mcp-docs-tools

Provides documentation generation and analysis tools for AI agents, including JSDoc generation, README analysis, changelog generation, API documentation, and code comment analysis.

Category
Visit Server

README

mcp-docs-tools

Documentation generation tools for AI agents, served via the Model Context Protocol (MCP).

Overview

mcp-docs-tools provides five specialized documentation tools accessible through MCP:

Tool Description
generate_jsdoc Generate JSDoc/TSDoc comments from function signatures
analyze_readme Analyze README completeness and suggest improvements
generate_changelog Generate CHANGELOG entries from commit messages
generate_api_docs Generate REST API documentation from endpoint definitions
analyze_code_comments Analyze comment coverage, find TODOs, detect undocumented functions

Installation

npm install
npm run build

Usage

As an MCP Server

Add to your MCP client configuration:

{
  "mcpServers": {
    "docs-tools": {
      "command": "node",
      "args": ["path/to/mcp-docs-tools/dist/index.js"]
    }
  }
}

Tools

generate_jsdoc

Parses a function signature and generates JSDoc/TSDoc with @param, @returns, @throws, and @example tags.

Parameters:

  • functionSignature (string, required) - The function signature to document
  • description (string, optional) - Description of the function
  • includeExample (boolean, optional, default: true) - Whether to include an @example tag

analyze_readme

Analyzes README content for required sections (Installation, Usage, License, etc.), rates completeness from 0-100, and suggests missing sections.

Parameters:

  • content (string, required) - Full text content of the README file

generate_changelog

Generates CHANGELOG entries from git-style commit messages following the Keep a Changelog format. Categorizes commits as Added, Changed, Fixed, Removed, Deprecated, or Security.

Parameters:

  • versions (array, required) - Array of { version, date, commits } objects
  • projectName (string, optional) - Project name for the header

generate_api_docs

Generates REST API documentation in Markdown from endpoint descriptions including method, URL, parameters, request/response examples, and status codes.

Parameters:

  • apiTitle (string, required) - Title for the API documentation
  • baseUrl (string, optional) - Base URL for the API
  • apiDescription (string, optional) - General API description
  • endpoints (array, required) - Array of endpoint definitions

analyze_code_comments

Analyzes source code comment coverage: computes comment-to-code ratio, finds TODO/FIXME/HACK markers, detects functions without documentation, and suggests where docs are needed.

Parameters:

  • code (string, required) - Source code to analyze
  • language (string, optional, default: "typescript") - Programming language

Configuration

No additional configuration required. The server runs over stdio.

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured