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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.

11,838 servers. Last updated -

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    A simple MCP server built with FastMCP for experimentation and learning purposes. Includes basic web tools like article fetching and serves as a human-readable template for building custom MCP servers.
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    AGPL 3.0
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    Upload, edit, and generate videos from everyone's favorite LLM and Video Jungle.
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    Basic Memory is a knowledge management system that allows you to build a persistent semantic graph from conversations with AI assistants. All knowledge is stored in standard Markdown files on your computer, giving you full control and ownership of your data. Integrates directly with Obsidan.md
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    Enables date and time operations including formatting, arithmetic, comparisons, and duration calculations using date-fns library. Provides tools for getting current time, adding/subtracting durations, finding differences between dates, and comparing dates.
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    MIT License
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    Enables comprehensive Windows system management through Claude Desktop, including PowerShell/CMD execution, file operations, archive handling, Git tools, network testing, and system monitoring. Provides a complete toolkit for Windows automation and administration tasks.
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    A basic MCP server example that provides simple arithmetic tools (addition and subtraction) and personalized greeting resources. Serves as a foundation for learning MCP server implementation and development.
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    A lightweight MCP server for image processing and cloud uploads that automates resizing, converting, optimizing, and uploading images to services like AWS S3, Cloudflare R2, and Google Cloud Storage.
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    A Model Context Protocol server that enables enhanced file system operations including reading, writing, copying, moving files with streaming capabilities, directory management, file watching, and change tracking.
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    Enables AI assistants to download images from URLs and perform basic image optimization tasks.
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    Apache 2.0
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    Enables generating and editing images using OpenRouter's API with Gemini 2.5 Flash Image model. Supports custom aspect ratios, iterative editing, and reference images for style transfer.
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    An MCP tool server that enables generating and editing images through OpenAI's image models, supporting text-to-image generation and advanced image editing (inpainting, outpainting) across various MCP-compatible clients.
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    MIT License
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    An MCP server that enables text-to-image generation and editing using OpenAI's gpt-image-1 model, supporting multiple output formats, quality settings, and background options.
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    Image Tools MCP is a Model Context Protocol (MCP) service that retrieves image dimensions and compresses images from URLs and local files using the TinyPNG API. It supports converting images to formats like webp, jpeg/jpg, and png, providing detailed information on width, height, type, and compressi
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    Enables AI assistants to generate and edit images using Google's Gemini 2.5 Flash Image API with intelligent prompt enhancement. Supports text-to-image generation, image editing with natural language instructions, and advanced features like character consistency and multi-image blending.
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    This server generates placeholder image URLs from various providers, supporting input validation and integration with desktop applications like Claude and Cursor.
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    A Model Context Protocol server that enables Claude to display and interact with images from the local filesystem, allowing users to view images directly in conversations and retrieve image metadata.
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    Enables Claude and other MCP clients to analyze and describe images using the Qwen3-VL vision model (235B parameters) through Ollama Cloud API, supporting multiple image formats without requiring local GPU.
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    Generates high-quality images using Volcano Engine's SeeDream 4.0 model with AI-powered prompt generation. Supports custom dimensions and intelligent reference images for seamless image creation in MCP-enabled clients.
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    Enables text-to-image generation, image editing, and multi-image composition using Google's Gemini 2.5 Flash Image API. Supports flexible aspect ratios and character consistency across generations.
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    Enables conversion between multiple image formats including JPG, PNG, WebP, GIF, BMP, TIFF, SVG, ICO, and AVIF with quality control and batch processing capabilities.
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    A Model Context Protocol server that enables generating and editing images using OpenAI's gpt-image-1 model, allowing AI assistants to create and modify images from text prompts.
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    A MCP server that integrates with Stable Diffusion WebUI to provide text-to-image generation and image upscaling capabilities through simple API calls.
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    Enables users to generate high-quality images using ModelScope's Qwen-Image model through natural language prompts. Supports async task processing with both image URL and base64 encoded data output options.
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    Enables local image analysis using Ollama AI models with complete privacy protection. Supports image content analysis, OCR text extraction, UI design analysis, and batch processing without requiring API keys or uploading data.
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    Enables image generation and editing using Google Gemini AI with support for multiple aspect ratios, context images, custom styles, and watermark overlays. Optimized for creating social media content with automatic file saving and flexible output configuration.
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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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    Provides image generation capabilities for Claude using the Replicate Flux model, allowing users to create images from text prompts with customizable parameters like aspect ratio and output format.
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    A server that accepts image URLs and analyzes their content using GPT-4-turbo, enabling Claude AI assistants to understand and describe images through natural language.
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    Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.
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