MCP Servers for Google Gemini

Google Gemini is Google's generative AI model and conversational assistant that combines text, code, images, audio, and video to deliver multimodal AI capabilities powered by Google's advanced large language models.

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  • Why this server?

    Leverages the Gemini Vision API to process and analyze YouTube video content, with support for multiple Gemini models that can be configured via environment variables.

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    MCP (Model Context Protocol) server that utilizes the Google Gemini Vision API to interact with YouTube videos. It allows users to get descriptions, summaries, answers to questions, and extract key moments from YouTube videos.
    4
    141
    JavaScript
    MIT License
    • Linux
    • Apple
  • Why this server?

    Uses the Gemini 2.0 API to generate responses based on search results and provide the latest information

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    Utilizes Gemini API and Google Search to generate answers based on the latest information for user queries.
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    21
    JavaScript
    MIT License
  • Why this server?

    Integrates with Google's Gemini Pro model to provide MCP services

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    A TypeScript server that integrates Google's Gemini Pro model with Claude Desktop through the Model Context Protocol, allowing Claude users to access Gemini's text generation capabilities.
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    TypeScript
    MIT License
  • Why this server?

    Compatible with Google Gemini models through MCP clients, enabling natural language control of connected hardware.

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    A bridge that connects physical hardware devices with AI large language models via serial communication, allowing users to control hardware using natural language commands.
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    5
    Python
    MIT License
    • Apple
    • Linux
  • Why this server?

    Supports Google Gemini models for API generation, with a free tier option for development and testing purposes.

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    MCP-Server from your Database optimized for LLMs and AI-Agents. Supports PostgreSQL, MySQL, ClickHouse, Snowflake, MSSQL, BigQuery, Oracle Database, SQLite, ElasticSearch, DuckDB
    237
    Go
    Apache 2.0
    • Linux
  • Why this server?

    Support for Google Gemini AI models to power agents that interact with and monitor the Starknet blockchain.

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    Build powerful and secure AI agents powered by Starknet.
    95
    84
    TypeScript
    MIT License
  • Why this server?

    Enables image generation and modification from text prompts using Google's Gemini models

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    A server that provides AI-powered image generation, modification, and processing capabilities through the Model Context Protocol, leveraging Google Gemini models and other image services.
    6
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    Provides intelligent model selection between Gemini 2.0 Flash, Flash-Lite, and Flash Thinking models for different tasks, with file handling and multimodal capabilities.

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    The ultimate Gemini API interface for MCP hosts, intelligently selecting models for the task at hand—delivering optimal performance, minimal token cost, and seamless integration.
    6
    TypeScript
    MIT License
  • Why this server?

    Provides image generation capabilities using Google's Gemini AI models with customizable parameters like style and temperature

  • Why this server?

    Supports text generation through Google Gemini models via Pollinations.ai's API service

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    An MCP server that connects to Pollinations.ai API, enabling AI models to generate and download images and text through natural language commands.
    2
    JavaScript
    Apache 2.0
    • Apple
    • Linux
  • Why this server?

    Integrates with Google Gemini API for processing mathematical queries and generating responses that can be visualized in Keynote presentations.

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    Implements a math agent using Model Control Protocol that performs mathematical calculations and visually presents results in Keynote, enabling drawing shapes and adding text to slides.
    Python
    • Apple
  • Why this server?

    Enables access to Google Gemini models including Gemini 2.5 Pro, allowing prompt processing through a standardized interface.

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    A lightweight MCP server that provides a unified interface to various LLM providers including OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama.
    6
    Python
  • Why this server?

    Implements a bridge to Google Gemini's API, enabling text generation with gemini-2.0-flash model, image generation/analysis, and multimodal content processing

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    A server that provides access to Google Gemini AI capabilities including text generation, image analysis, YouTube video analysis, and web search functionality through the MCP protocol.
    2
    TypeScript
    • Apple
  • Why this server?

    Enables text-to-image generation and image transformation using Google's Gemini AI model, supporting high-resolution image creation from text prompts and modification of existing images based on textual descriptions.

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    Allows AI assistants to generate and transform high-quality images from text prompts using Google's Gemini model via the MCP protocol.
    1
    Python
    • Apple
  • Why this server?

    Provides access to Google Gemini 2.5 Pro Experimental model for content generation with customizable parameters like temperature and token limits

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    A 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.
    JavaScript
  • Why this server?

    Uses Gemini Flash 2.0 to generate code summaries with configurable detail levels and length constraints.

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    Allows LLM tools like Claude Desktop and Cursor AI to access and summarize code files through a Model Context Protocol server, providing structured access to codebase content without manual copying.
    TypeScript
    • Linux
    • Apple
  • Why this server?

    Uses Gemini AI to generate concise video summaries and power natural language queries about video content.

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    A Model Context Protocol server that analyzes YouTube videos, enabling users to extract transcripts, generate summaries, and query video content using Gemini AI.
    7
    Python
    • Linux
    • Apple
  • Why this server?

    Integrates with Google Gemini API to enable context-aware conversations with the language model, allowing the system to maintain conversation history across multiple requests.

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    A system that manages context for language model interactions, allowing the model to remember previous interactions across multiple independent sessions using Gemini API.
    Python
    • Linux
    • Apple
  • Why this server?

    Generates AI images from text descriptions using Google Gemini API, with support for the gemini-2.0-flash-exp-image-generation model to create multi-view images for 3D reconstruction

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    Enables users to generate parametric 3D models from text descriptions or images using multi-view reconstruction and OpenSCAD, with support for AI image generation and remote processing.
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    Python