CodeGraphContext

About

CodeGraphContext turns local source repositories into queryable code graphs for AI assistants through an MCP server and CLI.

Key Features

• Index code symbols and relationships for structured lookup.
• Use a repository graph to investigate dependencies and code context.

Use Cases

Provide repository context for code review, impact analysis or implementation planning.

Limitations

Keep the index aligned with the current source tree. This entry refers to the CodeGraphContext organization’s maintained repository.

Sources

• Project documentation: https://github.com/CodeGraphContext/CodeGraphContext

MCP Setup

Prerequisites

• Python 3.10+ and pip.
• Choose a graph backend compatible with your operating system.

Client setup

Other

Transport: stdio

{
  "mcpServers": {
    "CodeGraphContext": {
      "command": "codegraphcontext",
      "args": [
        "mcp",
        "start"
      ]
    }
  }
}

• Install: pip install codegraphcontext
• Use codegraphcontext mcp setup to configure the client; index the intended repository.

The README offers embedded and external database options; FalkorDB Lite is Unix-only, while Kuzu supports Windows, macOS and Linux.

Setup docs: https://github.com/CodeGraphContext/CodeGraphContext