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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.

7,731 servers. Last updated -

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Matching MCP servers:

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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.
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    Captures high-quality screenshots of web pages with automatic resolution limiting and tiling optimized for Claude Vision API and other AI models.
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    MCP server that provides computer control capabilities including mouse movements, keyboard actions, screenshot capture with OCR, and window management through a unified API.
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    A Model Context Protocol server that provides AI vision capabilities for analyzing UI screenshots, offering tools for screen analysis, file operations, and UI/UX report generation.
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    A Model Context Protocol server that enables Claude Desktop to query and analyze Taiwan CoolPC computer component prices, helping users generate custom PC quotes through AI assistance.
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    A macOS utility that captures screenshots and analyzes them with AI vision, enabling AI assistants to see and interpret what's on your screen.
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    An MCP server for Microsoft's Cognitive Services Custom Vision Training API that enables AI agents to create, train, and manage custom image classification and object detection models through natural language interactions.
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    An MCP (Multi-Agent Conversation Protocol) Server that provides a standardized interface for interacting with Google's Cloud Vision API, enabling AI agents to analyze images and extract visual information through natural language.
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    A Model Context Protocol server that enables AI assistants to analyze images using OpenRouter vision models through a simple interface.
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    Provides image recognition capabilities using Anthropic Claude Vision and OpenAI GPT-4 Vision APIs, supporting multiple image formats and offering optional text extraction via Tesseract OCR.
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    Enables browser automation and real-time computer vision tasks through AI-driven commands, offering zero-cost digital navigation and interaction for enhanced web experiences.
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    A computer vision service that allows Claude to perform object detection, segmentation, classification, and real-time camera analysis using state-of-the-art YOLO models.
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    A Model Context Protocol compliant server that provides RESTful API access to Ultralytics YOLO operations for computer vision tasks including training, validation, prediction, export, tracking, and benchmarking.
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    This is a server implementation for performing Optical Character Recognition (OCR) using the Google Cloud Vision API. It is built on top of the FastMCP framework, which allows for the creation of modular and extensible command processing tools.
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    MCP OpenVision is a Model Context Protocol (MCP) server that provides image analysis capabilities powered by OpenRouter vision models. It enables AI assistants to analyze images via a simple interface within the MCP ecosystem.
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    A lightweight open-source server that enables AI agents to interact with the Windows operating system, allowing for file navigation, application control, UI interaction, and QA testing without requiring computer vision.
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    A lightweight bridge enabling AI agents to perform real-world tasks on Android devices such as app navigation, UI interaction, and automated QA testing without requiring computer-vision pipelines or preprogrammed scripts.
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    An MCP server for fetching and transforming web content into various formats.
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    A meta-server that allows Claude to install other MCP servers from npm or PyPi, enabling easy expansion of Claude's capabilities with external tools.
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    This server is a server that installs other MCP servers for you. Install it, and you can ask Claude to install MCP servers hosted in npm or PyPi for you. Requires npx and uv to be installed for node and Python servers respectively.
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    A bridge that integrates Ollama's local LLM capabilities into MCP-powered applications, enabling users to run, manage, and interact with AI models locally with full control and privacy.
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    Provides precise conversions between different units of measurement including temperature, length, weight, and volume.
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    control mouse on your local computer
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    Enables AI systems to analyze documents and extract form data through Azure Form Recognizer/Document Intelligence, supporting various document types including receipts, invoices, and ID documents.
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    Provides AI-powered visual analysis capabilities for Claude and other MCP-compatible AI assistants, allowing them to capture and analyze screenshots, perform file operations, and generate UI/UX reports.
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    A Model Context Protocol (MCP) server for Cursor IDE that simplifies the installation and configuration of other MCP servers.
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    A metacognitive pattern interrupt system that helps prevent AI assistants from overcomplicated reasoning paths by providing external validation, simplification guidance, and learning mechanisms.
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    Enable AI assistants to interact directly with Bitcoin Ordinals inscriptions. Seamlessly integrates with Goose and Claude Desktop to retrieve and display inscription content from transactions.
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    An MCP server that analyzes webpage design images using vision models and generates development documentation in Markdown format.
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