Docs Fetcher

Fetches and delivers up-to-date programming library documentation from various language ecosystems without requiring API keys, enabling direct access to reference materials within conversations.

The docs-fetcher-mcp server enables AI assistants to retrieve package documentation from various programming language ecosystems without requiring API keys. Built by cdugo, it leverages the Model Context Protocol to fetch library documentation on demand, supporting caching for improved performance. The implementation is containerized with Docker and configurable through Smithery.ai, making it easy to deploy in different environments. This tool is particularly valuable for developers and AI workflows that need access to up-to-date library documentation directly within conversations, eliminating the need to switch contexts or manually search for reference materials.