code-review-mcp-server
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., "@code-review-mcp-serverreview my Python script for code quality and security"
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.
Code Review MCP Server
Status: archived / portfolio reference. Built March 2026 as a focused exploration of FastMCP + AST-based code-quality heuristics. The deterministic tools (Ruff / ShellCheck / ESLint wrappers, secret-pattern checks) still work; the LLM-style review feedback is largely overlapped by modern coding assistants, which is why this is frozen rather than actively maintained. Fork if you want to extend.
An open-source Model Context Protocol (MCP) server that brings senior-level code review into your editor. Use it with Cursor or any MCP client to get quality checks, refactor suggestions, security checks, and best-practice guidance as you code.
Quick start
git clone <this-repo>
cd mcp_server
python -m venv venv
./venv/bin/pip install -r requirements.txt
./venv/bin/python code_review_mcp_server.pyWith Cursor: Add the server to your MCP config (e.g. copy mcp.json into ~/.cursor/ and set workingDirectory to this repo). Cursor will then offer tools like senior_review, review_code_quality, and security_review when you work on code.
What it does
The server exposes tools over MCP that your editor can call to:
Area | Tools |
One-shot review |
|
Quality |
|
Security |
|
Refactor |
|
Structure |
|
Tests |
|
Static analysis | Ruff (Python), ShellCheck (Bash), ESLint (JS/TS), patch generation |
So instead of "quick AI code," you get feedback that matches what a senior engineer would expect in a code review: clear structure, fewer security risks, and maintainable patterns.
Requirements
Python 3.10+
Optional: Ruff for Python linting (
pip install ruff), ShellCheck for Bash, ESLint (e.g. vianpx) for JavaScript/TypeScript
Project structure
mcp_server/
main.py # Minimal entry point
code_review_mcp_server.py # Entry point with config and logging
tools/ # MCP tools (quality, security, refactor, etc.)
utils/ # Helpers (temp files, diffs)
tests/ # Unit tests (tools, utils, common)
mcp.json # Example MCP config for Cursor
requirements.txt
requirements-dev.txt # Dev deps (pytest); optional
pyproject.toml # Project metadata and pytest configTesting
From the project root (with the venv activated and deps installed):
python -m unittest discover -s tests -p 'test_*.py' -vOr install dev deps and use pytest: pip install -r requirements-dev.txt then pytest tests/ -v.
Usage
Run the server from the project directory:
./venv/bin/python code_review_mcp_server.pyor
python main.py(both use the same config and logging).Use from Cursor: Point your Cursor MCP config at this repo. The example
mcp.jsonuses relative paths:workingDirectoryshould resolve to the cloned repo (e.g.../mcp_serverif the config file lives in~/.cursor). For reliability, you can setworkingDirectoryto the absolute path of this repo (e.g.~/mcp_server).
Getting better results
Pass
file_pathwhen callingsenior_review,review_code_quality, orsecurity_review. Findings will includefile:linereferences so you can jump to the exact location.Use
focuswithsenior_reviewto narrow the checklist:"security"(secrets, injection, permissions),"api"(naming, types, docs), or omit for the full checklist.Review in small chunks. Run review on one file or one concern at a time; large blobs of code produce noisier or vaguer feedback.
Ask for one thing at a time. For example: “Run security_review on this file” or “Run senior_review with focus=api on this function.”
License and author
License: MIT — see LICENSE.
Author: Dmitry Troshenkov.
Contributions and feedback are welcome.
This server cannot be installed
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/troshenkov/code-review-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server