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    Code Reviewer Fixer Agent

    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!

    11 stars
    Python
    Updated Sep 12, 2025

    Table of Contents

    • Installation
    • Prerequisites
    • Steps
    • Running the Application
    • MCP Configuration
    • How It Works
    • API Documentation

    Table of Contents

    • Installation
    • Prerequisites
    • Steps
    • Running the Application
    • MCP Configuration
    • How It Works
    • API Documentation

    Documentation

    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:

    bash
    git clone 
       cd

    2. Install dependencies:

    bash
    pip install -r requirements.txt

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

    env
    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:

    bash
    uvicorn upsonicai:app --reload

    Open the UI in your browser:

    code
    http://127.0.0.1:8000/

    MCP Configuration

    Modify your MCP configuration to include GitHub and Sentry:

    json
    "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:

    • Swagger UI: http://127.0.0.1:8000/docs
    • ReDoc: http://127.0.0.1:8000/redoc

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