GitHub Open-Sources MCP Server to Improve LLM Accuracy and Automation
It acts as a source-of-truth interface between GitHub and any LLM.
GitHub has open-sourced its implementation of the Model Context Protocol (MCP), a new open standard designed to enhance how large language models (LLMs) interact with real-time data and external tools.
In a typical developer workflow using tools like GitHub Copilot in VS Code, LLMs can “hallucinate” answers—responding with outdated or inaccurate information due to limited access to live context.
MCP addresses this by providing a structured, standardized interface for LLMs to fetch real-time data directly from applications such as GitHub.
"It acts as a source-of-truth interface between GitHub and any LLM, reducing hallucinations and unlocking new automation workflows," GitHub said in a blog post.
Built on a client-server architecture similar to the Language Server Protocol (LSP), MCP aims to become the “LSP of LLMs,” enabling smarter, more accurate AI agents across development environments.
