MatterAI MCP Server
Enables code reviews, implementation planning, and pull request generation for AI agents in IDEs like Cursor and Windsurf.
README
<div align="center"> <a href="https://matterai.so"> <img src="https://matterai.so/favicon.png" alt="Matter AI Logo" height="64" /> </a> <br /> <p> <h3> <b> MatterAI </b> </h3> </p> <p> <b> AI Super Intelligence for Engineering </b> </p> <p>

</p> </div>
Matter AI MCP Server
MatterAI MCP offers code reviews right in your IDE when using AI Agents such as in Cursor, Windsurf, VS Code, Cline and more to enhances your development workflow. Built with FastMCP in Python, it provides advanced code review capabilities, implementation planning, and pull request generation to help you release code with confidence.
Features
- Code review tools - Get comprehensive code reviews for individual files or full git diffs
- Implementation planning - Generate detailed implementation plans for AI agents
- Pull request generation - Create pull requests with auto-generated titles and descriptions
- Random cat facts - Because who doesn't love cat facts?
Requirements
- Python 3.11+
- See
requirements.txtfor dependencies
Installation
pip install -r requirements.txt
Setup
API Key
To use Matter AI MCP Server, you need an API key:
- Obtain your API key from https://app.matterai.dev/settings
- Use this key in your MCP configuration as shown below
MCP Configuration
Create an MCP configuration file with the following content:
{
"mcpServers": {
"matter-ai": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://mcp.matterai.so/sse",
"--header",
"X-AUTH-TOKEN:MATTER_AI_API_KEY"
]
}
}
}
Replace MATTER_AI_API_KEY with your actual API key.
Usage
Run the server:
python server.py
The server will start on http://localhost:9000 (default for FastMCP).
Connecting from Cursor or Windsurf
- Use the MCP (Model Context Protocol) integration
- Point to:
http://localhost:9000/sse - Tools will auto-discover and appear in the client
Tools
1. Code Review
codereview(generated_code: str, git_owner: str, git_repo: str, git_branch: str, git_user: str, languages: str) -> str
Provides code review for the generated code.
2. Full Code Review
codereview_full(git_diff: str, git_owner: str, git_repo: str, git_branch: str, git_user: str) -> str
Provides a comprehensive code review based on git diff output.
1. Cat Fact
cat_fact() -> str
Returns a random cat fact.
Docker Build and Use
Building the Docker Image
docker build -t matter-ai-mcp .
Running the Docker Container
docker run -p 9000:9000 -e MATTER_API_ENDPOINT=https://api.matterai.so
The server will be accessible at http://localhost:9000.
License
MIT
Resources:
- Website: https://matterai.so
- Docs: https://docs.matterai.so
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