Awesome AI Agents › IDE Integrations
MCP LLMS-TXT Documentation Server is an open-source project designed to expose the llms.txt files to Integrated Development Environments (IDEs) and applications for enhanced development workflows. The llms.txt files serve as a website index for Large Language Models (LLMs), providing background information, guidance, and links to detailed markdown documentation. Various IDEs like Cursor and Windsurf, as well as applications such as Claude Code/Desktop, utilize llms.txt to retrieve contextual information for tasks. However, these applications often use different built-in tools to read and process these files, making the retrieval process opaque and difficult to audit. This project leverages the Model Context Protocol (MCP) to offer developers full control over the tools used by these applications. It provides an MCP server that hosts user-defined lists of llms.txt files and a simple fetch_docs tool to read URLs within any of the provided llms.txt files. This setup allows users to audit each tool call and the context returned, enhancing transparency and control. The server implements strict domain access controls for security, allowing fetching documentation only from explicitly approved domains. It supports both remote and local llms.txt files, with configurable allowed domains to prevent unauthorized access. The project includes detailed instructions for installation, configuration, and integration with popular IDEs and applications like Cursor, Windsurf, and Claude Desktop. Users can run the MCP server locally, connect it to their preferred IDE or app, and configure rules to utilize the server for answering questions based on the llms.txt documentation. The project also provides tools like the MCP inspector for testing and auditing tool calls. Overall, MCP LLMS-TXT Documentation Server enhances the usability, transparency, and security of accessing LLM documentation within development environments.
https://github.com/langchain-ai/mcpdoc
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