The AWS MCP Servers are a set of dedicated servers based on the Model Context Protocol, offering various AWS-related functions, including document retrieval, knowledge base query, CDK best practices, cost analysis, image generation, etc., aiming to enhance the integration of AI applications with AWS services through a standardized protocol.

This is an MCP server project for Google Calendar, providing integration functions with Google Calendar. It allows reading, creating, updating, and searching for calendar events through standardized interfaces. It supports functions such as adding events from images, calendar analysis, attendance status check, and automatic event coordination.

DINO-X MCP is a project that enables large language models to perform fine-grained object detection and image understanding through DINO-X and Grounding DINO 1.6 API. It can achieve precise object positioning, counting, attribute analysis, and scene understanding, and supports natural language-driven visual tasks and workflow integration.

Deep Research is an agent - based tool that provides web search and advanced research functions, supports PDF analysis, image description, and YouTube transcription extraction, and can run as an MCP server.

The Rijksmuseum MCP Server provides access to museum art collections through natural language interaction, supporting search, analysis, and image viewing functions.

MCP OpenVision is an image analysis server based on OpenRouter's vision models, providing image analysis capabilities for AI assistants.

This is a collection of MCP servers focused on the medical field, covering various medical - related MCP service implementations such as PubMed literature retrieval, access to medical preprints, FHIR data interaction, DICOM medical image processing, protein structure analysis, medical computing tools, and integration of medical education resources.

An MCP server integrating the visual capabilities of GLM - 4.5V, supporting local image and URL analysis, and providing image analysis functions through Claude Code

A customized MCP server by MiniMax for Coding Plan users, providing AI-driven web search and image analysis tools, optimized specifically for the code development workflow, and can be integrated into MCP clients such as Claude Desktop and Cursor to enhance the programming experience.

An image analysis MCP server based on the GPT-4o-mini model that can handle image content analysis from URLs or local paths

exif-mcp is an MCP server based on the exifr library, used for offline extraction and analysis of image metadata. It supports multiple image formats and metadata segments, and is suitable for scenarios such as image library analysis and development debugging.

MCP Vision Relay is an MCP server that provides image analysis capabilities for MCP clients that only support text, such as Claude and Codex, by encapsulating locally installed Gemini and Qwen command - line tools, enabling them to process pictures in local paths, URLs, or base64 - encoded format.

The Moondream MCP Server is a powerful model context protocol server that provides advanced image analysis functions for applications through the Moondream vision model and seamlessly integrates with Claude and Cline.

OpticMCP is an MCP server that provides camera and visual tools for AI assistants. It supports multiple functions such as USB cameras, IP network cameras, screen capture, image analysis, and QR code decoding, implementing a universal camera interface.

An MCP server based on the xAI Grok API, providing AI image analysis functions, supporting image description, metadata extraction, and OCR text recognition for URLs and local files.

Groq MCP Server is a service that provides fast model inference through the Model Context Protocol (MCP), supporting various functions such as text generation, voice conversion, image analysis, and batch processing.

The MCP Gemini API server is a Google Gemini API proxy service designed for Cursor and Claude, providing functions such as text generation, image analysis, video analysis, and web search.

The OpenRouter MCP Multimodal Server is a protocol server that provides text chat and image analysis functions through OpenRouter.ai, supporting multiple model selections and performance optimization.

This project is an MCP server implementation connecting to ComfyUI, providing functions such as image generation, image description generation, and tag analysis, and supporting image processing through API interaction with ComfyUI.

An MCP image analysis server based on OpenRouter visual models

An AI vision analysis MCP server based on Google Gemini and Vertex AI, supporting multimodal analysis of images and videos, providing functions such as object detection and image comparison, and can be integrated into various MCP clients.

The Grok MCP plugin is an interface that provides the powerful features of Grok AI for Cline, supporting text generation, image analysis, and function calls.

Scout Monitoring MCP is a locally running MCP server that allows AI assistants to access Scout application performance monitoring data through Docker images, including error tracking, performance metrics, and code-level analysis, helping AI directly fix performance issues in the code.

The MCP server based on the GLM-4.5V model provides intelligent image analysis functions, supporting image acquisition from file paths or the clipboard. It is specifically designed for code content extraction, architecture analysis, error detection, and documentation generation.

Vulcan File Ops is a high - performance file operation server based on the Model Context Protocol (MCP) that can transform desktop AI assistants (such as Claude Desktop, ChatGPT Desktop, etc.) into powerful development partners. It provides secure file reading and writing, batch operations, document processing, image analysis, and Shell command execution functions. It features enterprise - level security controls, dynamic directory registration, and intelligent tool filtering, allowing users to have full control over local file system access.

The Grok MCP plugin is an interface plugin that provides the powerful features of Grok AI for Cline, supporting text generation, image analysis, and function calling.

The OpenCV MCP Server is a Python - based computer vision service that provides OpenCV's image and video processing capabilities through the Model Context Protocol (MCP). It offers a full set of computer vision tools from basic image processing to advanced object detection for AI assistants and language models, including image processing, edge detection, face recognition, video analysis, and real - time object tracking.

The OpenRouter Image MCP Server provides powerful image analysis capabilities for AI agents, supports multiple visual models, and can analyze visual content such as photos, web page screenshots, and mobile application interfaces

The DocuMind MCP Server is a next-generation document quality analysis server based on neural networks. It provides functions such as README evaluation, SVG header image scanning, and multi-language support through advanced algorithms, and offers AI-driven document improvement suggestions for developers.

An image analysis MCP server based on the GPT-4o-mini model that identifies and describes content by receiving image URLs.

This is a startup template for creating a custom MCP server for Puch AI, including job search analysis and image processing tools, supporting secure external connections and authentication.

This project is a Google Image Search MCP Server based on SerpAPI, which provides image search, download, and analysis functions to help AI assistants obtain relevant image resources.

This project is an MCP server used to integrate Google's Gemini model with Claude Code to achieve collaboration between the two AI systems. It provides functions such as direct query, collaborative brainstorming, code analysis, text analysis, content summarization, and image prompt generation.

DocuMind MCP Server is a document quality analysis server based on neural networks. It comprehensively evaluates README files through advanced algorithms, provides improvement suggestions, and supports multi-language document verification and SVG header image analysis.

The Grok AI MCP Server is a Node.js - based server that integrates the xAI Grok API, providing powerful AI - driven analysis tools for the Solana blockchain. It supports transaction analysis, address analysis, image analysis, and general queries, and provides a standardized interface through the Model Context Protocol (MCP).

An image recognition server based on the Model Context Protocol that provides image analysis and description functions through OpenAI-compatible vision models, supporting cloud and local model integration.

An AI-based food nutritional analysis assistant that identifies foods through images, calculates calorie and protein content, and supports nutritional knowledge Q&A and conversation memory functions.

This tutorial introduces how to use UnderDoc to extract structured expense data from receipt/invoice images, store it in an SQLite database, and conduct natural language expense analysis through Claude Desktop and the MCP server.

A DOCX document processing MCP server based on the mammoth library, providing functions such as text extraction, HTML conversion, structural analysis, image extraction, and Markdown conversion, supporting full - format retention and document analysis.