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Record · codegraphconMCP serverCosts not checkedRecord checked Sep 23, 2026

CodeGraphContext

Index a local codebase into a graph database and query its call chains from AI assistants over MCP.

Sources and review

Checked against public documentation on . Suitability guidance is our editorial judgment; this is not a performance benchmark or an endorsement.

Best for

Large or unfamiliar codebases where an agent needs structural answers, such as who calls a function, rather than grep results.

About CodeGraphContext

CodeGraphContext (CGC) parses repositories with tree-sitter into a graph database and exposes that graph through an MCP server and a CLI, so assistants can answer questions about call chains, dependencies and relationships that text search misses. It installs with pip or runs from a Docker image, with a choice of database back ends and optional SCIP indexing.

CodeGraphContext is listed in this index written primarily in Python, with 4.4k stars on GitHub. Its latest recorded repository push was in November 2026; that is not an ASE editorial review date.

Before connecting: access and data

This record's specific permissions have not been reviewed by ASE. Read the publisher's documentation before copying setup or connecting.

  • List the accounts, files and services the enabled tools can read, change or execute. Check your actual credentials and discovered tools.
  • Use narrowly scoped credentials and read-only mode where supported. Review proposed writes before approving them; a generated configuration does not apply these limits for you.
  • Local launch is not local-only data processing. External services receive requests, and your client may pass tool results to its model provider. Check both destinations before sharing private data.
  • Keep keys and browser session files out of shared config, repositories and screenshots. Know how to disconnect the server and separately revoke its credentials or account sessions.

Read the setup guide →

Install

pip install codegraphcontext
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