gemini-mcp-tool and mcp-gemini-search
About gemini-mcp-tool
jamubc/gemini-mcp-tool
MCP server that enables AI assistants to interact with Google Gemini CLI, leveraging Gemini's massive token window for large file analysis and codebase understanding
Implements the Model Context Protocol (MCP) to bridge Claude with Gemini CLI, exposing tools like `ask-gemini` and `sandbox-test` for safe code execution and file analysis using the `@` syntax for context injection. Integrates directly into Claude Desktop and Claude Code via stdio transport, defaulting to the `gemini-2.5-pro` model while supporting configurable model selection and sandbox mode for isolated script testing.
About mcp-gemini-search
arjunprabhulal/mcp-gemini-search
Model Context Protocol (MCP) with Gemini 2.5 Pro. Convert conversational queries into flight searches using Gemini's function calling capabilities and MCP's flight search tools
Establishes stdio-based communication with a local MCP flight search server while leveraging Gemini 2.5 Pro's function calling to automatically extract travel parameters from natural language queries. The architecture chains three protocols: natural language → Gemini's structured function calls → MCP tool invocation → SerpAPI flight data, with built-in error handling across API boundaries and asynchronous I/O for concurrent operations.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work