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204,280 tools. Last updated 2026-06-14 23:34

"Improving the Thinking Capabilities of My Gemini AI" matching MCP tools:

  • Route tasks to Google's Gemini models via local CLI agent. Uses your Google One AI Pro subscription as a fallback when Claude limits are reached, or for tasks benefiting from Gemini's capabilities.
    MIT
  • Send text prompts to Google Gemini to receive responses. Supports configurable models and multi-turn conversations with session context.
    AGPL 3.0
  • Execute AI-driven tasks using Gemini via Agent Client Protocol with multi-modal support, session management, and tool execution capabilities.
    MIT
  • Create images from text descriptions or modify existing images using Gemini AI models, with configurable aspect ratios and batch generation options.
    MIT

Matching MCP Servers

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    A 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.
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    MIT
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    Chain of Draft Server is a powerful AI-driven tool that helps developers make better decisions through systematic, iterative refinement of thoughts and designs. It integrates seamlessly with popular AI agents and provides a structured approach to reasoning, API design, architecture decisions, code r
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    MIT

Matching MCP Connectors

  • Find relevant Smart‑Thinking memories fast. Fetch full entries by ID to get complete context. Spee…

  • Gemini Exchange keyless public market: symbols, ticker, candles, book, trades, price feed.

  • Check the real-time operational status of major AI services including Claude, OpenAI, Gemini, Mistral, Cohere, Replicate, and Hugging Face. Identify outages or performance issues instantly.
    MIT
  • Generate novel ideas by applying creative frameworks (SCAMPER, Design Thinking) with domain context, idea clustering, feasibility analysis, and iterative refinement. Supports Gemini, Codex, and Claude.
    MIT
  • Retrieve details about the Gemini AI model configuration, including capabilities and settings, for verification and integration purposes.
    Apache 2.0
  • Discover available Gemini AI models and their capabilities to select the right one for tasks like reasoning, vision processing, or JSON generation.
    MIT
  • Analyze images with Gemini AI to answer questions about visual content, identify objects, or extract information from photos using vision capabilities.
    MIT
  • Query Google Gemini AI models through the MCP AI Bridge to generate responses for prompts with configurable parameters.
    MIT
  • Generate AI descriptions of images using vision providers like Gemini, OpenAI, or Claude. Specify detail level and optional prompts for customized analysis.
  • Search Google Gemini AI for information by entering queries with configurable timeout settings to retrieve AI-generated responses.