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Open-Source MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

9,444 servers. Last updated -

Matching MCP tools:

Matching MCP servers:

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    A 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.
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    A prompt management system for Google Gemini Pro that includes caching, security filtering, logging, and metrics collection.
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    MCP Server for automated reverse engineering with IDA Pro.
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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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    A lightweight MCP server bridging AI agents to Google's Gemini AI via official CLI
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    Enables image processing and analysis using Google's Gemini 2.5 Flash model. Supports local files, URLs, and Base64 images with streaming responses and automatic output saving.
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    Professional Model Context Protocol server that enables AI-optimized Figma design analysis and comprehensive design-to-code conversion through a structured 5-step workflow.
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    Enhanced memory repository MCP service that enables building and querying temporally-aware knowledge graphs from user interactions and enterprise data. Features asynchronous processing, task management tools, multi-model compatibility, and a comprehensive visual management interface.
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    An enhanced memory repository MCP service that builds and queries temporally-aware knowledge graphs from user interactions and data. Features asynchronous parallel processing, task management, broader AI model compatibility, and a comprehensive visual management interface.
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    A comprehensive MCP server that provides intelligent access to Perplexity AI's search and reasoning models with automatic model selection, conversation management, and project-aware storage. Supports real-time search, deep research, chat sessions, and async operations for complex queries.
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    An unofficial MCP-compatible server that enables advanced automation, querying, and remote control of Adobe Premiere Pro projects for power users, workflow automation, and AI integration.
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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.
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    An AI-powered automation bridge for Adobe Premiere Pro that enables controlling video edits with natural language and automating workflows through Claude or other AI agents.
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    A 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.
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    A Model Context Protocol server that enables Claude to interact with Google's Gemini AI models, allowing users to ask Gemini questions directly from Claude.
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    An AI-powered Model Context Protocol server for Claude Code that provides code intelligence tools including codebase analysis, task management, component generation, and deployment configuration.
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    A Python-based MCP server that enables integration of Gemini AI models with MCP-compatible applications like Cursor/Claude, allowing for interaction with Gemini APIs through the Model Context Protocol.
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    Enables comprehensive codebase analysis using Google's Gemini CLI and its massive context window. Supports file/directory analysis, security audits, architecture analysis, feature verification, and complete project overviews for large codebases that exceed other AI models' context limits.
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    A tool that allows Claude Code to use Gemini AI as an MCP server, leveraging Gemini's large context window for analyzing large files while saving Claude Code tokens.
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    A Model Context Protocol server that enables AI assistants to interact with Google Gemini CLI, allowing them to leverage Gemini's large token window for analyzing files and codebases using natural language commands.
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    A dedicated server that wraps Google's Gemini AI models in a Model Context Protocol (MCP) interface, allowing other LLMs and MCP-compatible systems to access Gemini's capabilities like content generation, function calling, chat, and file handling through standardized tools.
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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.
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    Model Context Protocol (MCP) server implementation that enables Claude Desktop to interact with Google's Gemini AI models.
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    A Model Context Protocol server that enables LLMs to perform web searches using Google's Gemini API and return synthesized responses with citations.
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    An MCP server that enables other AI models (like Claude) to use Google's Gemini models as tools for specific tasks through a standardized interface.
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    An automated research agent that leverages Google Gemini models and Google Search to perform deep, multi-step web research, generating sophisticated queries and producing citation-rich answers.
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    A Model Context Protocol server that enables Claude to collaborate with Google's Gemini AI models, providing tools for question answering, code review, brainstorming, test generation, and explanations.
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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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    A TypeScript implementation of a Model Context Protocol server that integrates with Google's Gemini 2.0 Flash model, enabling Claude Desktop users to interact with Gemini through natural language conversations.
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