MCP Gemini Server
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Alternatives to MCP Gemini Server
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Related Servers
- -licenseNot gradedqualityNot gradedmaintenanceA server that allows interaction with Google's Gemini AI through the Gemini CLI tool using the Model Context Protocol, providing a standardized interface for querying Gemini with various options and configurations.-
- AlicenseBqualityDmaintenanceA Model Context Protocol server that enables Claude Desktop and other MCP-compatible clients to leverage Google's Gemini AI models with features like thinking models, Google Search grounding, JSON mode, and vision support.649 npm14MIT
- FlicenseNot gradedqualityDmaintenanceA server implementing the Model Context Protocol that enables AI assistants like Claude to interact with Google's Gemini API for text generation, text analysis, and chat conversations.-
- AlicenseAqualityDmaintenanceA Model Context Protocol server that connects to Google AI Studio/Gemini API, enabling content generation with support for various file types, conversation history, and system prompts.1101 npm38MIT
- AlicenseNot gradedqualityNot gradedmaintenanceAn MCP server implementation that allows using Google's Gemini AI models (specifically Gemini 1.5 Pro) through Claude or other MCP clients via the Model Context Protocol.1MIT
- AlicenseAqualityFmaintenanceModel Context Protocol (MCP) server implementation that enables Claude Desktop to interact with Google's Gemini AI models.649 npm261MIT
TDQS
Scored across 16 tools
Every tool has a clearly distinct purpose with no ambiguity. The tools are well-organized into functional groups: content generation (generateContent, generateContentStream, functionCall), chat management (startChat, sendMessage, sendFunctionResult), cache operations (createCache, getCache, updateCache, deleteCache, listCaches), and file operations (uploadFile, getFile, deleteFile, listFiles). The exampleTool serves as a demonstration and doesn't overlap with the Gemini-specific functionality.
The naming is mostly consistent with a clear gemini_prefix followed by verb_noun pattern (e.g., gemini_createCache, gemini_generateContent). The only deviation is exampleTool which lacks the gemini_ prefix and uses camelCase instead of snake_case, but this appears intentional as a demonstration tool. All 15 Gemini tools follow the same consistent naming convention.
16 tools is well-scoped and appropriate for a comprehensive Gemini API server. Each tool earns its place by covering distinct aspects of the Gemini ecosystem: content generation, chat sessions, file management, and caching. The count allows complete coverage without being overwhelming for the domain.
The tool surface provides complete CRUD/lifecycle coverage for all major Gemini API domains. For caches: create, get, update, delete, list. For files: upload, get, delete, list. For chat: start, send messages, send function results. For content: generate (streaming and non-streaming) and function calling. No obvious gaps exist for the server's purpose of providing comprehensive Gemini API access.