# Code Review Graph

Code Review Graph builds a persistent local code graph and exposes structured context to AI coding tools through MCP and a CLI.

Canonical URL: https://a2a-mcp.org/entry/code-review-graph

Language: en

Category: MCP Servers

Updated: 2026-09-14

## About

Code Review Graph builds a persistent local code graph and exposes structured context to AI coding tools through MCP and a CLI.

## Key Features

- Map repository structure to support code review.
- Retrieve focused code context for large-repository workflows.

## Use Cases

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

## Limitations

Index results support navigation and review; confirm conclusions against the current source files. No benchmark improvement is assumed for your repository.

## Sources

- Project documentation: https://github.com/tirth8205/code-review-graph

## MCP Setup

### Prerequisites

- Python 3.10+; pip or pipx; a local code repository.

### Client setup

#### Other

Transport: `stdio`

```bash
code-review-graph install
```

- Install: pip install code-review-graph
- Run the installer in the repository, then code-review-graph build.
- Restart the coding tool after configuration.

The installer detects supported tools, including Claude Code, Codex and Cursor, and writes their MCP configuration.

Setup docs: https://github.com/tirth8205/code-review-graph

## Tags

- MCP
- code-intelligence
- code-review

## Alternatives

- CodeGraph by codegraph-ai
- CodeGraphContext

## Sources

- [Project website](https://github.com/tirth8205/code-review-graph)
- [Project documentation](https://github.com/tirth8205/code-review-graph)

Last checked: 2026-09-14