Documentation MCP Server

Documentation MCP Server

Generates professional documentation for multi-language projects with deep code analysis, supporting frameworks like Docusaurus, MkDocs, and Sphinx, including API docs, PDF export, and OpenAPI specifications.

Category
Visit Server

README

šŸ“š Documentation MCP Server

A Model Context Protocol (MCP) Server for generating professional documentation with support for multiple frameworks.

✨ Features

  • šŸ” Deep Code Analysis - AST-based Multi-Language Analysis
    • TypeScript/JavaScript: TypeScript Compiler API
    • Python: Native Python AST module
    • Go: Go parser & AST
    • PHP: Regex-based analysis + PHP 8+ Features
    • Extracts classes, functions, interfaces, methods, properties
    • PHP 8+: Enums, Traits, Attributes
    • Captures JSDoc/Docstrings/Go Doc/PHPDoc and calculates documentation coverage
    • Analyzes imports/exports and module dependencies
  • šŸŒ Multi-Language Projects - Automatic detection and parallel analysis of multiple languages
  • šŸ“Š Project Analysis - Automatic code analysis for TypeScript, JavaScript, Python, Go, PHP
  • šŸ—ļø Structure Generation - Creates complete documentation scaffolds
  • āœļø Page Editor - Creates and edits individual documentation pages
  • šŸ“– API Documentation - Generates API docs from code comments
  • 🌐 Static Site Builder - Builds static websites for hosting
  • šŸ“„ PDF Export - Converts documentation to PDF
  • šŸ‘€ Live Preview - Local development server

šŸ› ļø Supported Frameworks

  • Docusaurus (React-based, modern, various templates)
  • MkDocs (Python-based, Markdown-focused, simple)
  • Sphinx (Python, very powerful, for complex projects)

šŸš€ Quick Start

  1. Install globally:

    npm install -g documentation-mcp-server
    
  2. Configure in Claude Desktop (see SETUP.md):

    {
      "mcpServers": {
        "docs": {
          "command": "npx",
          "args": ["-y", "documentation-mcp-server"]
        }
      }
    }
    
  3. Start using the documentation tools in Claude!

šŸ“¦ Tools

docs_analyze_project

Analyzes project structure and performs deep code analysis.

Parameters:

  • projectPath (string, required) - Path to project
  • language (enum, optional) - Programming language (typescript, javascript, python, go, rust, java, csharp)
  • deep (boolean, optional, default: true) - Enables deep code analysis

Deep Analysis Features:

  • šŸ“¦ Extracts Classes/Structs, Interfaces, Functions, Enums, Type Aliases
  • šŸ” Captures Methods, Properties, Constructors with complete details
  • šŸ“ Analyzes JSDoc/Docstrings/Go Doc and calculates documentation coverage
  • šŸ”— Tracks Imports/Exports and Module Dependencies
  • šŸ“Š Generates summary statistics
  • šŸŽÆ Multi-Language Support:
    • āœ… TypeScript/JavaScript (TypeScript Compiler API)
    • āœ… Python (Native Python AST)
    • āœ… Go (go/parser & go/ast)
    • āœ… PHP v2 (nikic/php-parser AST) - New! 100% accurate
      • Namespaces & Use-Statements
      • Union/Intersection/Nullable Types
      • Enums, Traits, Attributes (PHP 8+)
      • Framework Detection:
        • CodeIgniter 3/4 (Controller, Model)
        • Laravel (Illuminate*)
        • Symfony (Symfony*)
        • MVC Pattern Recognition
      • Route Detection: šŸš€
        • Convention-based: /controller/method/{param}
        • Attribute-based: #[Get('/')], #[Post('/')]
        • HTTP Methods: GET, POST, PUT, PATCH, DELETE
        • Parameter Types & Required/Optional Status
      • Middleware Detection: šŸ”’
        • Laravel: #[Middleware('auth')]
        • Symfony: #[IsGranted('ROLE_ADMIN')]
        • CodeIgniter 4: #[Filter('auth')]
        • CodeIgniter 3: @middleware (Docblocks)
        • Class-Level & Method-Level
        • Middleware Parameters
      • OpenAPI 3.0 Export: šŸ“‹
        • Auto-generates Swagger/OpenAPI specs
        • Routes → Paths conversion
        • Middleware → Security Schemes
        • JSON & YAML format support
    • āœ… PHP v1 (Regex-based) - Fallback
    • šŸŒ Automatic Multi-Language Detection
    • šŸ”œ Rust, Java, C# (planned)

Example Response:

{
  "deepAnalysis": {
    "summary": {
      "totalFiles": 11,
      "totalClasses": 2,
      "totalInterfaces": 23,
      "totalFunctions": 16,
      "overallDocCoverage": 3.17
    }
  }
}

docs_generate_structure

Generates documentation scaffold.

Parameters:

  • projectPath (string, required) - Path to project
  • framework (enum, required) - docusaurus | mkdocs | sphinx
  • template (string, optional) - Template name
  • outputPath (string, optional) - Output path (default: ./docs)

docs_create_page

Creates or edits documentation page.

Parameters:

  • docsPath (string, required) - Path to docs
  • pagePath (string, required) - Relative path to page
  • title (string, required) - Page title
  • content (string, required) - Markdown content

docs_generate_api

Generates API documentation from code.

Parameters:

  • projectPath (string, required) - Path to source code
  • outputPath (string, required) - Output path
  • language (enum, required) - Programming language

docs_build_static

Builds static website.

Parameters:

  • docsPath (string, required) - Path to docs
  • framework (enum, required) - Framework
  • outputPath (string, optional) - Output path (default: ./build)

docs_export_pdf

Exports documentation as PDF.

Parameters:

  • docsPath (string, required) - Path to docs
  • outputPath (string, required) - PDF output path
  • includePages (array, optional) - Specific pages

docs_preview

Starts local dev server.

Parameters:

  • docsPath (string, required) - Path to docs
  • framework (enum, required) - Framework
  • port (number, optional) - Port (default: 3000/8000)

docs_generate_openapi

Generates OpenAPI 3.0 specification from PHP code.

Parameters:

  • projectPath (string, required) - PHP project path
  • outputPath (string, optional) - Output path (default: ./openapi.json)
  • format (enum, optional) - json | yaml (default: json)
  • title (string, optional) - API title
  • version (string, optional) - API version
  • serverUrl (string, optional) - API server URL

docs_generate_sales_docs šŸŽÆ NEW!

Generates professional, sales-ready documentation for CodeCanyon, ThemeForest, etc.

Parameters:

  • projectPath (string, required) - PHP project path
  • outputDir (string, optional) - Output directory (default: ./sales-docs)
  • productName (string, required) - Product name
  • productVersion (string, optional) - Version (default: 1.0.0)
  • author (string, required) - Author/Company
  • description (string, required) - Product description
  • price (string, optional) - Price (e.g., "$49")
  • demoUrl (string, optional) - Live demo URL
  • supportEmail (string, optional) - Support email
  • features (array, optional) - List of key features

Generated Files:

  1. README.md (2.5 KB) - Product overview with features, statistics, requirements
  2. INSTALLATION.md (3.2 KB) - Step-by-step setup guide
  3. API_REFERENCE.md (24.2 KB) - Complete API documentation
  4. CONFIGURATION.md (2.1 KB) - Environment variables, security
  5. EXAMPLES.md (4.0 KB) - Code examples (JS, PHP, Python)
  6. FAQ.md (2.2 KB) - Frequently asked questions
  7. CHANGELOG.md (0.9 KB) - Version history
  8. COMPLETE_DOCUMENTATION.md (39.0 KB) - All-in-one for PDF

Total: ~78 KB professional documentation!

šŸ—ļø Architecture

src/
ā”œā”€ā”€ index.ts                    # MCP Server main file
ā”œā”€ā”€ core/                       # Core modules for deep analysis
│   ā”œā”€ā”€ types.ts               # Type definitions for all languages
│   └── analyzer.ts            # Abstract base class & factory
ā”œā”€ā”€ analyzers/                  # Language-specific analyzers
│   ā”œā”€ā”€ typescript.ts          # TypeScript/JavaScript (TS Compiler API)
│   ā”œā”€ā”€ python.ts              # Python wrapper (subprocess)
│   ā”œā”€ā”€ go.ts                  # Go wrapper (subprocess)
│   └── helpers/               # Native language parsers
│       ā”œā”€ā”€ python_analyzer.py # Python AST parser
│       └── go_analyzer.go     # Go AST parser
└── tools/                      # MCP tool implementations
    ā”œā”€ā”€ analyzeProject.ts      # Deep analysis integration
    ā”œā”€ā”€ generateStructure.ts
    ā”œā”€ā”€ createPage.ts
    ā”œā”€ā”€ generateApi.ts
    ā”œā”€ā”€ buildStatic.ts
    ā”œā”€ā”€ exportPdf.ts
    └── preview.ts

šŸ”¬ Deep Analysis Pipeline

  1. File Scanning - Scans project directory
  2. Language Detection - Detects dominant programming language
  3. Analyzer Selection - Selects appropriate AST parser (Factory Pattern)
  4. AST Parsing - Parses code files with language-specific parser
    • TypeScript: TS Compiler API (in-process)
    • Python: Python AST module (subprocess)
    • Go: go/parser & go/ast (subprocess)
  5. Symbol Extraction - Extracts all code symbols (Classes, Functions, etc.)
  6. Documentation Analysis - Captures documentation comments
  7. Summary Generation - Calculates statistics and coverage

šŸ“ 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
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
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
Qdrant Server

Qdrant Server

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

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
E2B

E2B

Using MCP to run code via e2b.

Official
Featured