What is CodeView MCP?
CodeView MCP is an AI-powered code review toolkit designed to analyze GitHub pull requests (PRs) using local and cloud-based language models. It helps identify code smells, generate summaries, and provide inline comments to enhance the code review process.
How to use CodeView MCP?
To use CodeView MCP, clone the repository from GitHub, set up a Python virtual environment, install the required packages, and run the command line interface (CLI) to analyze PRs. A quick start guide is available in the documentation.
Key features of CodeView MCP?
- AI-driven analysis of code PRs for quick reviews
- Local and cloud LLM integration for enhanced insights
- Inline comments for easy acceptance or rejection
- Risk gating to ensure code quality
- Test stub generation for automated testing
Use cases of CodeView MCP?
- Rapidly reviewing large pull requests to catch potential issues.
- Providing automated feedback on code quality and security risks.
- Generating test stubs to facilitate testing of new code.
FAQ from CodeView MCP?
- Can CodeView MCP analyze any GitHub PR?
Yes! CodeView MCP can analyze any public GitHub PR as long as you have the necessary permissions.
- Is there a cost associated with using CodeView MCP?
CodeView MCP is open-source and free to use, but cloud-based features may incur costs depending on usage.
- How does CodeView MCP ensure privacy?
Only the diff snippet is sent to the cloud for analysis; the full code remains on your machine.