Skip to main content
Glama
geethikakoya

mcp-code-agent

by geethikakoya
OverviewSchemaRelated ServersScoreDiscussions
Python
Local

🔍 MCP-Powered AI Code Review Agent

An AI-powered code review agent that leverages Model Context Protocol (MCP) and Claude to provide intelligent, context-aware code reviews.

Python License MCP

✨ Features

  • 🤖 AI-Powered Reviews: Uses Claude to provide intelligent code analysis

  • 🔧 MCP Integration: Built on Model Context Protocol for tool-augmented LLM reasoning

  • 📊 Code Metrics: Cyclomatic complexity, line counts, maintainability index

  • 🎨 Style Checking: Detects common anti-patterns and style issues

  • 📝 Git Integration: Review diffs, check history, understand context

  • ⚡ Streaming Output: Real-time feedback as the AI analyzes your code

Related MCP server: Gemini MCP

🚀 Quick Start

Installation

# Clone the repository
git clone https://github.com/geethikakoya/mcp-code-agent.git
cd mcp-code-agent

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -e .

Set up API Key

# Get your API key from https://console.anthropic.com/
export ANTHROPIC_API_KEY=your_api_key_here

Usage

# Review a file
mcp-review review src/main.py

# Review with streaming output
mcp-review review --stream src/main.py

# Review git changes
mcp-review diff

# Explain what a file does
mcp-review explain src/utils.py

# Quick analysis (no AI, just metrics)
mcp-review analyze src/main.py

📖 Architecture

┌─────────────────────────────────────────────────────────────┐
│                    Code Review Agent                        │
├─────────────────────────────────────────────────────────────┤
│                                                             │
│  ┌──────────┐      ┌──────────────┐      ┌──────────────┐  │
│  │  CLI     │─────▶│  Agent       │─────▶│  Claude API  │  │
│  │  (typer) │◀─────│  (reviewer)  │◀─────│  (LLM)       │  │
│  └──────────┘      └──────────────┘      └──────────────┘  │
│                           │                                 │
│                           ▼                                 │
│                    ┌──────────────┐                        │
│                    │  MCP Tools   │                        │
│                    └──────────────┘                        │
│                           │                                 │
│              ┌────────────┼────────────┐                   │
│              ▼            ▼            ▼                   │
│        ┌─────────┐  ┌─────────┐  ┌─────────┐              │
│        │  File   │  │   Git   │  │  Code   │              │
│        │  Tools  │  │  Tools  │  │ Analysis│              │
│        └─────────┘  └─────────┘  └─────────┘              │
│                                                             │
└─────────────────────────────────────────────────────────────┘

🔧 MCP Tools

File Operations

Tool

Description

read_file

Read file contents with optional line range

list_directory

List files and directories

search_code

Regex search across codebase

Git Integration

Tool

Description

git_diff

Get diff of changes

git_log

Get commit history

get_changed_files

List modified files

Code Analysis

Tool

Description

calculate_complexity

Cyclomatic complexity (Python)

count_lines

LOC, comments, blanks

check_code_style

Style issues and anti-patterns

📝 Example Output

🔍 Reviewing: src/api/handler.py

📊 Metrics Summary
• Lines of Code: 142
• Cyclomatic Complexity: 8 (Moderate)
• Maintainability Index: 65.2

🔴 Critical Issues
1. Line 45: SQL injection vulnerability - use parameterized queries

⚠️ Warnings
1. Line 23: Function too long (>50 lines) - consider splitting
2. Line 67: Magic number - extract to constant

💡 Suggestions
1. Add type hints to function parameters
2. Consider using dataclass for UserData

✅ What's Good
• Good error handling in API endpoints
• Consistent naming conventions

🏗️ Project Structure

mcp-code-agent/
├── src/
│   ├── mcp_server/           # MCP Server (exposes tools)
│   │   ├── server.py         # Main MCP server
│   │   └── tools/
│   │       ├── file_tools.py
│   │       ├── git_tools.py
│   │       └── analysis_tools.py
│   │
│   ├── agent/                # AI Agent
│   │   ├── reviewer.py       # Code review logic
│   │   └── prompts.py        # System prompts
│   │
│   └── cli/                  # CLI interface
│       └── main.py
│
├── tests/
├── pyproject.toml
├── requirements.txt
└── README.md

🔌 Using as MCP Server

You can use this as a standalone MCP server with any MCP-compatible client:

# Run the MCP server
mcp-review server

Configure in your MCP client (e.g., Claude Desktop):

{
  "mcpServers": {
    "code-review": {
      "command": "python",
      "args": ["-m", "src.mcp_server.server"],
      "cwd": "/path/to/mcp-code-agent"
    }
  }
}

🧪 Development

# Install dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Format code
black src/
ruff check src/

📄 License

MIT License - see LICENSE for details.

👤 Author

Geethika Koya

Built with ❤️ using Model Context Protocol and Claude

This server cannot be installed

A
license - permissive license
-
quality - not tested
D
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

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/geethikakoya/mcp-code-agent'

If you have feedback or need assistance with the MCP directory API, please join our Discord server