A
licenseA
qualityF
maintenanceModel Context Protocol (MCP) server implementation that enables Claude Desktop to interact with Google's Gemini AI models.
6
59 npm
261
MIT
MCP Server Gemini
by gurveeer
Related Servers
Alternatives to MCP Server Gemini
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol (MCP) server implementation for the Google Gemini language model. This server allows Claude Desktop users to access the powerful reasoning capabilities of Gemini-2.0-flash-thinking-exp-01-21 model.1MIT
- AlicenseBqualityDmaintenanceA Model Context Protocol server that enables Claude Desktop to interact with Google's Gemini 2.5 Pro Experimental AI model, with features like Google Search integration and token usage reporting.259 npm4Apache 2.0
- 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
- AlicenseBqualityFmaintenanceA server that enables Claude Desktop to generate images using Google's Gemini AI models through the Model Context Protocol (MCP).1065 npm19MIT
- 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.-
TDQS
B3.3/5.0
Scored across 6 tools
Disambiguation5/5
Each tool has a clearly distinct purpose with no overlap: image analysis, token counting, text embedding, text generation, help retrieval, and model listing. The descriptions reinforce these distinct functions, making tool selection unambiguous for an agent.
Naming Consistency4/5
Most tools follow a consistent verb_noun pattern (analyze_image, count_tokens, embed_text, generate_text, list_models), but get_help deviates slightly with a 'get_' prefix. The naming is still highly readable and predictable overall.
Tool Count5/5
With 6 tools, this server is well-scoped for Gemini AI interactions. Each tool earns its place by covering distinct aspects: vision, token management, embeddings, text generation, help, and model discovery, without being overly sparse or bloated.
Completeness4/5
The toolset covers core Gemini AI workflows comprehensively, including text and image processing, embeddings, and model management. A minor gap exists in lacking explicit tools for chat/multi-turn conversations or file uploads, but agents can work around this using generate_text and analyze_image.
Maintenance
ActivityInactive
ResponsivenessNo issues