Open-source MCP server for advanced Gemini API interaction, with intelligent model selection capabilities. (Merged with 'Gemsuite Mcp')
Loading more......
A Model Context Protocol (MCP) server that enhances AI-generated content to sound more natural and human-like, with features like AI detection and text refinement. Highly relevant as an example of an advanced MCP server implementation.
A Model Context Protocol implementation for managing and serving AI prompts with a TypeScript architecture, showcasing MCP server capabilities for AI prompt management.
MCP server that provides tools for interacting with Anthropic's prompt engineering APIs, allowing users to generate, improve, and templatize prompts.
Bridges Microsoft's AutoGen framework with external tools, enabling autonomous agents to execute code, perform research, and collaborate in multi-agent conversations for complex problem-solving tasks via an MCP server.
An MCP server that enables LLMs to use a calculator for precise numerical calculations through the MCP protocol.
A server that enables Claude Desktop users to access the Claude API directly, bypass Professional Plan limitations, and use advanced features like custom system prompts and conversation management. A practical MCP server for enhanced Claude integration.
Category: AI Integration MCP Servers
Tags: gemini, ai-integration, open-source, model-selection
Gemsuite is an open-source Model Context Protocol (MCP) server for advanced Gemini API interaction. It features intelligent model selection, providing optimal performance and minimal token cost. Gemsuite integrates with any MCP-compatible host, such as Claude, Cursor, and Replit, and offers advanced file handling and a comprehensive suite of tools for information retrieval, reasoning, processing, and analysis.
gem_search: Information retrieval with search integration using Gemini Flash (e.g., factual questions, grounded responses).gem_reason: Complex reasoning and step-by-step analysis using Gemini Flash Thinking (e.g., math, science, coding, logical analysis).gem_process: Fast, efficient content processing using Gemini Flash-Lite (e.g., summarization, extraction, high-volume operations).gem_analyze: Intelligent file analysis with auto-model selection (e.g., document analysis, code review, image understanding).model_id parameter.No pricing information provided. The project is open-source and available under the MIT license.