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.

FileScopeMCP is a code analysis tool based on TypeScript. It helps developers quickly understand the codebase structure by calculating file importance scores, tracking dependency relationships, generating visual charts, and adding file summaries. It supports analysis of multi-language projects, provides Mermaid chart generation and persistent storage functions, and can be integrated with Cursor's model context protocol.

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.

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.

PyMOL - MCP is a tool that integrates PyMOL with Claude AI through the Model Context Protocol (MCP), enabling control of molecular visualization and structural analysis through natural language.

The Model Context Protocol (MCP) is a protocol for seamless integration of LLM applications with external data sources. It provides .NET templates to simplify the development process, supports multiple operating modes, and includes a visual debugging tool.

The PubMed MCP Server is an interface service based on the Model Context Protocol, providing comprehensive access to the PubMed biomedical literature database for AI agents and research tools. It supports functions such as literature search, metadata acquisition, citation analysis, research plan generation, and data visualization, and is efficiently integrated through the NCBI E - utilities API.

This is a mathematical formula visualization and analysis server based on the Model Context Protocol (MCP). It uses sympy for local rendering and calculation and can optionally integrate the Desmos API, providing functions such as formula verification, 2D plotting, multi-function plotting, and symbolic analysis.

MCPStudio is an AI tool integration platform similar to Postman, providing a visual interface for creating, testing, and managing Model Context Protocol servers, simplifying the connection process between AI systems and external services.

A server project based on the Model Context Protocol (MCP) that provides access to baseball statistical data through the MLB Stats API and the pybaseball library, including data sources such as Statcast, Fangraphs, and Baseball Reference, and supports data visualization.

This is a server based on the Model Context Protocol (MCP) that allows AI assistants to control the Unreal Engine game engine through the remote control API, enabling game development automation. It supports various functions such as asset management, actor control, editor operations, level management, animation physics, visual effects, and Sequencer control.

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.

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 interactive data visualization server based on the Model Context Protocol, providing various chart generation functions such as relationship graphs, scatter plots, and 3D visualizations, supporting auto - save and real - time display.

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.

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.

The Electron MCP Server is a server based on the Model Context Protocol (MCP), providing comprehensive automation, debugging, and observability capabilities for Electron applications. It implements AI-driven automation through the integration of the Chrome DevTools protocol, supporting real-time UI interactions, visual debugging, deep inspection, and development observability, and can work without modifying the target application's code.

The Genesis MCP Server is a model context protocol server supporting visualization functions, specifically designed for Genesis World simulation.

Symbolica - mcp is a scientific computing model context protocol (MCP) server that provides functions such as symbolic computation, data analysis, visualization, and quantum computing, and supports running in a containerized environment.

An automated MCP service for Android devices built on Open - AutoGLM. It connects to the phone via ADB and invokes the visual model, and can access Xiaozhi AI for intelligent control.

An MCP image analysis server based on OpenRouter visual models

Graphiti MCP Pro is a memory storage MCP service and management platform enhanced based on the Graphiti framework, providing asynchronous parallel processing, task management tools, unified configuration management, broader AI model compatibility, and a comprehensive visual management system.

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.

A web interface, API, and MCP service based on the Google LangExtract library, supporting the use of LLM to extract structured information from text, providing a visual interface and integration of multiple 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.

SolanaViz MCP is a Model Context Protocol server that enables access, analysis, and visualization of Solana blockchain data through natural language interaction, including price prediction, security assessment, and multi - wallet analysis.

A semantic metrics modeling assistant based on the MCP protocol that helps data teams define, validate, and visualize business metrics through a conversational interface. It provides enterprise-level data persistence, trust scoring, and BI tool integration, reducing cognitive burden and building data trust.

The Napkin AI MCP Server is an unofficial community - maintained tool that provides AI assistants (such as Claude) with the ability to generate visual content such as infographics, mind maps, and flowcharts through the Model Context Protocol. It supports multiple output formats (SVG, PNG, PPT) and storage backends (local, S3, Google Drive, etc.), and includes asynchronous processing, automatic polling, and retry mechanisms.

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.

This project implements a full-stack AI agent system inspired by the model context protocol, including a React front-end and a FastAPI back-end. The back-end serves as an AI coordinator, using Google Gemini to parse natural language instructions, safely call the file system, browser, or GitHub tools to perform tasks, and return the structured results to the front-end. The system focuses on software development scenarios, providing secure sandbox file operations, real-time web browsing, and repository inspection functions, and visualizing the tool call process.

A Model Context Protocol (MCP) server based on the Strava API, providing sports data access and analysis functions, including activity tracking, athlete statistics, route visualization, etc.

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

Loominus MCP is a visual node editor designed to simplify the configuration and sharing of Model Context Protocol (MCP) servers and agents. It connects MCP tools with LLMs through a drag-and-drop interface, supports the rapid construction of automated workflows, and is suitable for the development of intelligent tools in the digital and physical worlds.

The Tableau MCP Server is a model context protocol server used to integrate the Tableau data visualization platform with GenAI applications, providing comprehensive API coverage, multiple authentication methods, and enterprise-level functions.

A Flutter - based HTN planning system that enables visual modeling and management of complex tasks through AI dialogue

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.

A model context protocol server for the SafetyCulture API that supports querying safety inspection data through natural language and provides trend analysis and visualization functions.

The ROS 2 MCP Server is a model context protocol server designed for the ROS 2 system, enabling AI agents such as GitHub Copilot to monitor, debug, and manage ROS 2 nodes, topics, services, and the TF2 framework, providing real-time interaction and system visualization tools.

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.