Allows ingesting any GitHub repository's code into a Neo4j knowledge graph and provides tools to query the graph for file dependencies, structure, function definitions, and more.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@codegraph-mcp show me the structure of the src directory in facebook/react"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Knowledge-Graph MCP Server for GitHub repos. Ingests any GitHub repo's code into a Neo4j graph (Repository / File / Function nodes; CONTAINS / DEFINES / IMPORTS / CALLS edges) and exposes that graph as read-only MCP tools to any MCP host — Claude Desktop, opencode, Cursor, or any client that speaks the Model Context Protocol.
v0.1 — stdio transport, Neo4j 5.x backend, Python ast + tree-sitter (JS/TS/TSX) parsing.
Related MCP server: NOMIK
git clone <codegraph-mcp> && cd codegraph-mcp
uv sync --extra dev # all deps pinned via uv.lock
docker compose up -d # Neo4j on bolt://localhost:7687
cp .env.example .env
uv run pytest -m "not slow and not integration"uv run codegraph ingest https://github.com/<owner>/<name>
# → {"graph_id": "owner/name", "files": 142, "functions": 880, ...}claude_desktop_config.json){
"mcpServers": {
"codegraph": {
"command": "uv",
"args": ["run", "--directory", "C:\\path\\to\\codegraph-mcp", "codegraph", "serve"]
}
}
}opencode.json){
"mcp": {
"codegraph": {
"type": "local",
"command": ["uv", "run", "--directory", "/path/to/codegraph-mcp", "codegraph", "serve"]
}
}
}~/.cursor/mcp.json){
"mcpServers": {
"codegraph": {
"command": "uv",
"args": ["run", "--directory", "/path/to/codegraph-mcp", "codegraph", "serve"]
}
}
}uv run mcp dev src/codegraph/server.pyCommand | Purpose |
| Clone + parse + load a repo into Neo4j |
| Run the MCP server (stdio) — spawned by the MCP host |
| Hard-wipe one repo from Neo4j (destructive) |
| List ingested repos |
Tool | Purpose |
| List ingested repos |
| Confirm a repo's graph exists; return file/function counts |
| Tiered tree view under a path |
| Flagship: what files/funcs depend on (or are depended on by) a file |
| Find functions/files by name |
| Deep detail on one node (line range, kind) |
Python 3.11+, mcp>=1.27,<2 (stable v1.x FastMCP), Neo4j 5.x, pydantic v2, tree-sitter, GitPython, pytest, ruff, mypy, uv.
See CONTRIBUTING.md for architecture, conventions, and testing strategy.
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If you are the server author, to access and configure the admin panel.
An MCP server that gives your AI access to the source code and docs of all public github repos
Repo intel for AI coding agents: overview, PRs, contributors, hot files, CI, deps. Remote MCP.
Knowledge coverage map and health score. Ingest docs into a governed knowledge graph via MCP.
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/Ritesh-977/codegraph-mcp'
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