Github Knowledge Base MCP Server

Connect Github Knowledge Base MCP to Claude, Cursor or any other MCP client and it stops being a tab you switch to. A simple MCP server built with FastMCP that lets you connect to any public GitHub repo as knowledge base. It has a few simple tools to find and read markdown and Jupyter notebook documents. The github knowledge base mcp mcp server is what makes that connection.

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

• knowledge_base_info — list_documents
• read_document — list_documents_with_metadata
• list_latest_documents — search_documents
• document_file_count — total supported files
• document_type_counts — counts per extension (for example .md, .markdown, .ipynb)
• Installation — The Installation tool exposed by this server
• Configuration — Set KB_GITHUB_REPO to use a public GitHub repository as the knowledge base

Installation

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Credentials and setup notes

Configuration is passed through the environment: KB_GITHUB_REPO, KB_GITHUB_BRANCH. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Where it fits

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Github Knowledge Base MCP's toolset — knowledge_base_info, read_document, list_latest_documents and 4 more — is a fair guide to whether it matches your workflow. It is maintained by stefanbschneider; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Worth knowing first

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.