mcpField
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Code Reviewer Fixer Agent

Code Reviewer Fixer Agent

Local
github.com/gokborayilmazDeveloper Tools12Updated 90w ago
Repository

About Code Reviewer Fixer Agent

Code Reviewer Fixer Agent analyzes repositories for code-quality issues and potential security vulnerabilities, and uses Sentry error logs to suggest fixes. It uses GitHub and Sentry MCP servers and provides a browser-accessible interface through a FastAPI application.

Key features

  1. 01Analyze repository code quality
  2. 02Detect potential security vulnerabilities
  3. 03Fetch recent repository commits
  4. 04Retrieve Sentry error logs
  5. 05Suggest actionable fixes

Use cases

  1. 01Review repository changes for quality issues
  2. 02Identify potential security vulnerabilities
  3. 03Use Sentry errors to guide code fixes

MCP support

The agent uses GitHub and Sentry MCP servers to access repository information and error logs. The README does not specify tools exposed by this project to MCP clients.

#code-reviewer#ai-agent#security

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

21-Day Agent Series: Day 11 AGENT : AI Code Review & Issue Fixer

AI Code Review & Issue Fixer This agent is part of the "A New AI Agent Every Day!" Series - Day 11/21 - AI Code Review & Issue Fixer 🛠🚀 This AI agent analyzes code repositories, detects potential security vulnerabilities, reviews code quality, and suggests fixes based on Sentry error logs using Sentry and GitHub MCP servers!

Installation

Prerequisites
  • Python 3.9 or higher
  • Git
  • Virtual environment (recommended)
Steps

Don't forget to download nodejs for MCP

  1. Clone the repository:

    git clone <repository-url>
cd <repository-folder>

  2. Install dependencies:

    pip install -r requirements.txt

  3. Create a .env file in the root directory and configure it as follows:

    AZURE_OPENAI_ENDPOINT="your_azure_openai_endpoint"
AZURE_OPENAI_API_VERSION="your_azure_openai_api_version"
AZURE_OPENAI_API_KEY="your_azure_openai_api_key"
GITHUB_PERSONAL_ACCESS_TOKEN="YOUR_GITHUB_TOKEN"
SENTRY_AUTH_TOKEN="YOUR_SENTRY_TOKEN"

Running the Application

Start the FastAPI server:

uvicorn upsonicai:app --reload

Open the UI in your browser:

http://127.0.0.1:8000/

MCP Configuration

Modify your MCP configuration to include GitHub and Sentry:

"mcpServers": {
  "github": {
    "command": "npx",
    "args": ["-y", "@modelcontextprotocol/server-github"],
    "env": {
      "GITHUB_PERSONAL_ACCESS_TOKEN": "YOUR_GITHUB_TOKEN"
    }
  },
  "sentry": {
    "command": "python",
    "args": ["-m", "mcp_server_sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
  }
}

How It Works

  • Fetches recent commits from GitHub/GitLab repositories
  • Analyzes code quality and detects security vulnerabilities
  • Retrieves error logs from Sentry
  • Provides actionable insights and fixes for detected issues

API Documentation

Interactive API docs are available at:

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