mcp-hfspace is an MCP server that connects to Hugging Face Spaces, supporting various AI functions such as image generation, speech processing, and visual models, simplifying the integration with Claude Desktop.

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.

The Strava MCP server is a middleware service that connects the Strava sports data API with language models, providing the ability to analyze, visualize sports data, and interact with social features.

The Image Gen MCP Server is a general AI image generation service that provides cross - platform and multi - model image generation capabilities for various LLM chatbots through the Model Context Protocol (MCP) standard protocol. It supports multiple image models from OpenAI and Google, enabling seamless conversion from text conversations to visual content.

The Ollama MCP Server is a bridge tool that connects the local large language models of Ollama and the Model Context Protocol (MCP). It provides complete API integration, model management, and execution functions, and supports OpenAI - compatible chat interfaces and visual multimodal models.

OmniMCP is a tool that provides rich UI context and interaction capabilities for AI models through the Model Context Protocol (MCP) and OmniParser. It focuses on achieving in - depth understanding of the user interface through visual analysis, structured planning, and precise interaction execution.

Meta Ads MCP is a server based on the Model Context Protocol, used to interact with the Meta Advertising API through a standardized interface, enabling AI models to access, analyze, and manage Meta advertising campaigns, including obtaining performance data, visualizing advertising creativity, and providing strategic suggestions.

An MCP service for operating Android devices via ADB, supporting functions such as app management, screen control, input gestures, and device information retrieval, and can integrate visual models for screen content analysis.

An MCP image analysis server based on OpenRouter visual models

This project integrates Graphistry's GPU-accelerated graph visualization platform with the Model Control Protocol (MCP), providing advanced graph analysis capabilities for AI assistants and large language models, and supporting multiple data formats and network analysis functions.

OmniMCP is a project that provides rich UI context and interaction capabilities for AI models through the Model Context Protocol (MCP) and OmniParser. It supports functions such as visual perception, LLM planning, and action execution, enabling in - depth understanding and precise interaction with the user interface.

NetBrain MCP is an open-source network operation and maintenance platform that connects large language models with network devices through the Model Context Protocol, enabling AI-driven network configuration, diagnosis, and management. It also provides a professional Web terminal interface and network topology visualization functionality.

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

BRAINS OS is an AI operating system based on modern cloud-native technologies, designed specifically for managing large language models and dedicated AI agents, providing visual workflow editing, a unified command system, and a secure deployment framework.

Playwright MCP is a browser automation server based on Playwright that interacts with web pages through structured accessibility snapshots without relying on visual models or screenshots, providing lightweight and efficient web page operation capabilities.

Playwright MCP is a browser automation server based on Playwright. It enables interaction between LLMs and web pages through structured accessibility snapshots without relying on visual models or screenshots.

Playwright MCP is a browser automation server based on Playwright. It interacts with web pages through structured accessibility snapshots, without the need for screenshots or visual models, providing lightweight and efficient web page operation capabilities for LLMs.