Documentation Search MCP

What it does

Connects AI agents to over 190 curated documentation sources, enabling precise technical queries and project analysis. It allows the AI to perform semantic searches across documentation, scan Python dependencies for security vulnerabilities, and generate project boilerplate.

Tools

• semantic_search: Search documentation using hybrid keyword and vector similarity.
• get_docs: Fetch specific documentation content.
• get_learning_path: Generate a structured roadmap for learning a library.
• get_code_examples: Find relevant code snippets.
• scan_project_dependencies: Identify vulnerabilities using Snyk, Safety, and OSV.
• snyk_scan_project: Perform a detailed Snyk security analysis.
• generate_project_starter: Create FastAPI or React project boilerplates.
• manage_dev_environment: Generate docker-compose files for local setup.
• compare_library_security: Compare security postures between different libraries.

Installation

{
  "mcpServers": {
    "documentation-search-enhanced": {
      "command": "uvx",
      "args": ["documentation-search-enhanced@1.9.0"],
      "env": {
        "SERPER_API_KEY": "your_key_here"
      }
    }
  }
}

Supported hosts

Confirmed support for Claude Desktop, Cursor, and Codex CLI.