Plan
Leverages Google Gemini AI to provide intelligent project planning and comprehensive code review capabilities via the Model Context Protocol.
About
Plan acts as an AI-powered project architect, bridging Google Gemini's robust planning and review capabilities with external coding abilities, such as those provided by Claude. It offers a continuous feedback loop where Gemini analyzes requirements, creates detailed project plans, reviews code quality, and provides iterative improvements based on execution results. This server provides complete Model Context Protocol (MCP) feature support, offering structured prompt templates, comprehensive tools for project management, dynamic tool discovery, and file system resource access for an integrated development workflow.
Key Features
- 0 GitHub stars
- Directory-wide Codebase Analysis and Structure Recommendations
- Interactive Project Planning and Code Review through Elicitation
- Automated Code Review and Security Vulnerability Detection
- Execution Analysis and Root Cause Debugging
- Comprehensive Project Planning with Gemini AI
Use Cases
- Generate detailed project plans with phases, tasks, and effort estimates for new projects.
- Review entire project directories for overall code quality, structure, and security across multiple files.
- Debug runtime errors, analyze execution outputs, and receive specific code fixes with explanations.
- Perform comprehensive code quality analysis, security vulnerability detection, and performance optimization on source code.