An MCP server that exposes the llms.txt file and its referenced local or external resources from a project root to provide context for AI models. It automatically parses documentation links and URLs to make them accessible as additional MCP resources.
An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context
This MCP server provides LLMs with a live, curated knowledge base of AI agent research, world models, and source-code reviews, enabling personalized and context-aware responses. Users can either connect to the hosted knowledge or build and host their own vault.
An MCP server that provides tools to load and fetch documentation from any llms.txt source, giving users full control over context retrieval for LLMs in IDE agents and applications.
