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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.

9,443 servers. Last updated -

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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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    An MCP server for analyzing images using OpenRouter vision models, offering capabilities like automatic image resizing, model configuration, and handling custom queries about images.
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    Facilitates interactive software development planning by managing tasks, tracking progress, and creating detailed implementation plans through the Model Context Protocol.
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    Provides software development planning tools to help users create implementation plans and manage todo items.
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    MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution
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    Fast, token-efficient web content extraction tool that converts websites to clean Markdown for AI agents, featuring smart caching, content extraction with Mozilla Readability, and polite crawling capabilities.
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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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    An MCP (Model Context Protocol) server implementation using HTTP SSE (Server-Sent Events) connections with built-in utility tools including echo, time, calculator, and weather query functionality.
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    Enables optimization, conversion to WebP, and uploading of images to Vercel Blob storage, supporting both local files and external URLs.
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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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    An MCP-based messaging system that allows AI systems to interact with various messaging platforms through standardized tools for sending text, images, documents, buttons, and alerts.
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    Enables AI assistants to download images from URLs and perform basic image optimization tasks.
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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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    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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    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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    Enables AI assistants to analyze images from URLs or local files using xAI's Grok API. Provides detailed image descriptions, technical metadata extraction, and optical character recognition (OCR) capabilities.
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    A Model Context Protocol server that converts Markdown content to HTML format.
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    Converts REST API code (like NestJS controllers or FastAPI endpoints) to Postman collections and environments, helping developers automatically sync their API endpoints with Postman.
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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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    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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    A Model Context Protocol server that extracts images from URLs or base64 data and converts them into a format suitable for LLM analysis, allowing AI models to process and understand visual content.
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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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    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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    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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    An MCP server implementation that integrates with Minimax API to provide AI-powered image generation and text-to-speech functionality in editors like Windsurf and Cursor.
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    An integration server that connects to gpt-image-1 and Gemini imagen4 models, allowing users to generate high-quality images from text descriptions via simple API endpoints.
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