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    Documentation Search Mcp

    Documentation search MCP server with external configuration

    6 stars
    Python
    Updated Oct 8, 2025

    Table of Contents

    • Features
    • Installation
    • Configuration
    • Claude Desktop
    • Codex CLI
    • Environment Variables
    • Semantic Search (Optional)
    • Available Tools
    • Development
    • Testing
    • Configuration
    • Contributing
    • License

    Table of Contents

    • Features
    • Installation
    • Configuration
    • Claude Desktop
    • Codex CLI
    • Environment Variables
    • Semantic Search (Optional)
    • Available Tools
    • Development
    • Testing
    • Configuration
    • Contributing
    • License

    Documentation

    Documentation Search MCP Server

    CI

    Security Scan

    PyPI version

    Python 3.12+

    License: MIT

    MCP server for searching documentation, scanning dependencies for vulnerabilities, and generating project boilerplate. Works with Claude Desktop, Cursor, and other MCP clients.

    **📚 Read the comprehensive tutorial** for detailed examples and workflows.

    Features

    • Search 190+ curated documentation sources with optional semantic vector search
    • Scan Python projects for vulnerabilities (Snyk, Safety, OSV)
    • Generate FastAPI and React project starters
    • Learning paths and code examples

    Installation

    bash
    # Recommended: use uvx (install uv from https://docs.astral.sh/uv)
    uvx documentation-search-enhanced@1.9.0
    
    # Or with pip in a virtual environment
    pip install documentation-search-enhanced==1.9.0
    
    # Optional: AI semantic search (Python 3.12 only, adds ~600MB)
    pip install documentation-search-enhanced[vector]==1.9.0

    Configuration

    Claude Desktop

    Find your uvx path: which uvx

    Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

    json
    {
      "mcpServers": {
        "documentation-search-enhanced": {
          "command": "/Users/yourusername/.local/bin/uvx",
          "args": ["documentation-search-enhanced@1.9.0"],
          "env": {
            "SERPER_API_KEY": "optional_key_here"
          }
        }
      }
    }

    Replace /Users/yourusername/.local/bin/uvx with your actual uvx path.

    Codex CLI

    bash
    # Find your uvx path first
    which uvx
    
    # Then add with full path (replace with your actual path)
    codex mcp add documentation-search-enhanced \
      -- /Users/yourusername/.local/bin/uvx documentation-search-enhanced@1.9.0
    
    # Or if uvx is in PATH:
    codex mcp add documentation-search-enhanced \
      -- uvx documentation-search-enhanced@1.9.0

    With SERPER API Key (enables live web search):

    bash
    codex mcp add documentation-search-enhanced \
      --env SERPER_API_KEY=your_key_here \
      -- /Users/yourusername/.local/bin/uvx documentation-search-enhanced@1.9.0

    Without SERPER API Key (uses prebuilt index from GitHub Releases):

    bash
    codex mcp add documentation-search-enhanced \
      -- /Users/yourusername/.local/bin/uvx documentation-search-enhanced@1.9.0

    If you get a timeout on first run, pre-download dependencies:

    bash
    uvx documentation-search-enhanced@1.9.0

    Environment Variables

    • SERPER_API_KEY - Optional. Enables live web search. Without it, uses prebuilt index from GitHub Releases.
    • DOCS_SITE_INDEX_AUTO_DOWNLOAD - Set to false to disable automatic index downloads
    • DOCS_SITE_INDEX_PATH - Custom path for documentation index

    Set server_config.features.real_time_search=false in your config to disable live crawling.

    Semantic Search (Optional)

    The [vector] extra adds semantic search using sentence-transformers (all-MiniLM-L6-v2) with hybrid reranking:

    • 50% semantic similarity (cosine)
    • 30% keyword matching
    • 20% source authority

    Only works on Python 3.12 (PyTorch limitation). Python 3.13 users get keyword-based search.

    To disable vector search even when installed:

    python
    semantic_search(query="FastAPI auth", libraries=["fastapi"], use_vector_rerank=False)

    Available Tools

    Core MCP tools:

    • semantic_search - Search documentation
    • get_docs - Fetch specific documentation
    • get_learning_path - Generate learning roadmap
    • get_code_examples - Find code snippets
    • scan_project_dependencies - Vulnerability scan
    • snyk_scan_project - Detailed Snyk analysis
    • generate_project_starter - Create project boilerplate
    • manage_dev_environment - Generate docker-compose files
    • compare_library_security - Compare library vulnerabilities

    Development

    bash
    git clone https://github.com/anton-prosterity/documentation-search-mcp.git
    cd documentation-search-mcp
    uv sync --all-extras
    uv run python -m documentation_search_enhanced.main

    Testing

    bash
    uv run pytest --ignore=pytest-test-project  # Core tests
    uv run ruff check src                       # Linting
    uv run ruff format src --check              # Format check

    Configuration

    Use the get_current_config tool to export current settings to config.json. Validate with:

    bash
    uv run python src/documentation_search_enhanced/config_validator.py

    Contributing

    See CONTRIBUTING.md for guidelines. Use Conventional Commits for commit messages.

    License

    MIT License - see LICENSE for details.

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