An MCP server that fetches real-time documentation for popular libraries like Langchain, Llama-Index, MCP, and OpenAI, allowing LLMs to access updated library information beyond their knowledge cut-off dates.
An MCP server that enables AI assistants to access up-to-date documentation for Python libraries like LangChain, LlamaIndex, and OpenAI through dynamic fetching from official sources.
A local-only MCP server that provides AI coding agents with up-to-date documentation for specific libraries or tools during feature implementation, including search tools, multi-version support, and user-defined library entries.
A Model Context Protocol server that provides AI coding agents with real, live, source-cited documentation for npm, PyPI, and Cargo packages, including READMEs, metadata, vulnerability checks, and package search.
An MCP server that gives AI coding assistants access to up-to-date API documentation via RAG by crawling documentation sites, indexing them into a vector store, and enabling semantic queries.