# CodeGraphContext

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

## Facts
- **Category:** [MCP Servers](https://agentsearchengine.app/category/mcp-servers)
- **Type:** MCP server
- **Pricing:** Open source
- **GitHub stars:** 4,221
- **Language:** Python
- **License:** MIT
- **Last repo activity:** 16 days ago (Sep 6, 2026)
- **Official site:** https://cgc.codes
- **Source code:** https://github.com/CodeGraphContext/CodeGraphContext
- **Listing on Agent Search Engine:** https://agentsearchengine.app/agents/codegraphcontext
- **Data verified:** September 2026

## 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.

## Install

```
pip install codegraphcontext
```

## Alternatives
CodeGraphContext sits in mcp servers. Related tools indexed here:
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- [serena](https://agentsearchengine.app/agents/serena) — A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent · Open source · SDK / library · 30k★ · Python · MIT · active today
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- [fastmcp](https://agentsearchengine.app/agents/fastmcp) — The fast, Pythonic way to build MCP servers and clients. · Open source · SDK / library · 28k★ · Python · Apache-2.0 · active today

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