Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.

MCP Notes is an intelligent note - taking application based on the MCP protocol, supporting AI - driven note management and web interface operations, and using DynamoDB to store data.

ht-mcp is a high-performance headless terminal MCP server implemented in Rust, supporting multi-session management and web interface preview.

A tool for monitoring the status of Minecraft servers, supporting Bedrock and Java editions, providing a Web API interface and database persistence function.

The Hive Intelligence MCP server provides comprehensive cryptocurrency and Web3 analysis services for AI assistants. It integrates over 200 professional tools through a unified interface, covering multiple fields such as market data, on-chain analysis, portfolio tracking, and security analysis.

MCPez is a microservice command proxy management platform that unifies the management and standardizes the interfaces of backend services through a web interface, simplifying the integration of AI agents and tools.

Binance MCP Server is a standardized interface service that provides Binance exchange data for large language models (LLMs), supporting functions such as real-time quotes, historical data, order book queries, and WebSocket push.

The GeoFS MCP server is a model context protocol server designed for the GeoFS flight simulator, which allows AI models to control the aircraft and obtain real-time flight data through HTTP and WebSocket interfaces.

The MCP Server Dashboard is a unified management platform that simplifies the management and scaling of multiple MCP servers through flexible streaming HTTP endpoints. It supports on-demand access to all servers, a single server, or a logically grouped set of servers, and provides a centralized web management interface.

EOxElements is a collection of Web components developed by EOX, focusing on geospatial user interface elements, including various components such as maps, charts, drawing tools, layer control, time control, form rendering, search filtering, etc., used to build geospatial applications.

WaterCrawl MCP is a model context protocol server provided for the WaterCrawl platform, which provides web crawling, content scraping, and search functions for AI systems through a standardized interface.

This project implements the integration of the TypeScript MCP proxy with Ollama. Through a unified interface, AI models can call multiple tools, supporting functions such as file operations and web searches.

A TypeScript bridge project connecting local LLMs to MCP servers, providing a web interface that enables open-source models to use tool capabilities similar to Claude, supporting functions such as file system operations, web search, and complex reasoning.

A Python-based document processing and Retrieval Augmented Generation (RAG) server that uses the DuckDB database to store embedding vectors, supports multiple file format processing, and provides a Web interface and API.

The aaPanel MCP interface service provides functions for panel system management, PHP website management, MySQL database management, Docker container management, and mail management

GoScry is a server application based on the Go language. It controls browsers to execute web page operation tasks through the Chrome DevTools protocol, providing API interfaces and DOM parsing functions.

An enterprise - level AI assistant system based on the Model Context Protocol, with intelligent server selection, text analysis, code review, sentiment analysis, and knowledge management functions, providing an aesthetically pleasing Web interface.

An MCP server that provides Google PageSpeed Insights analysis, helping AI models analyze web page performance through a standardized interface.

The UTCP-MCP Bridge is a general MCP server that bridges tool functions to the MCP ecosystem through the UTCP protocol, supporting proxy mode, direct client operation, and web interface management.

The plugged.in App is a comprehensive web application for managing Model Context Protocol (MCP) servers, providing a unified interface to discover, configure, and use AI tools across multiple MCP servers. It supports multi - workspaces, an interactive testing platform, tool management, resource discovery, etc., can be integrated with various MCP clients, and supports self - hosted deployment.

TPC Server is a backend service for recording and tracking the thought processes of AI agents or projects. It manages the associated data of thoughts, plans, and changes through structured logging and provides Web interface and API access.

WhatsApp Web MCP is a bridging project that connects WhatsApp Web with AI models. It provides a standardized interface through the Model Context Protocol (MCP) and supports automating and enhancing the WhatsApp interaction function.

The Local MCP Client is a cross - platform web and API interface tool that interacts with configurable MCP servers through natural language, supports local LLM models and Ollama, and enables structured tool execution and dynamic proxy behavior.

This project provides an MCP service interface for the Google Search Console API for Claude AI, supporting functions such as querying website data and checking URL index status.

MCPez is a microservice command proxy management platform that unifies the management and standardizes the backend service interfaces through a web interface, simplifying the integration and deployment of applications such as AI agents.

WhatsApp Web MCP is a Node.js application that connects WhatsApp Web with AI models through the Model Context Protocol (MCP), providing a standardized interface for automated messaging, contact management, and group chat functions.

MCPHub is a hybrid web/extension application for managing Model Context Protocol (MCP) servers, providing server management functions similar to apt/pip, including a modern web interface and secure local system integration.

The MCP Browser Server is a Playwright-based browser automation service that provides web interaction capabilities for AI assistants through a standardized interface. It supports multi-browser operations, element interactions, screenshot analysis, and JavaScript execution, etc.

The Docker deployment solution for Kyutai TTS provides a one-click startup web interface, REST API, and MCP tool support, supporting GPU acceleration and multilingual interfaces.

WebScout MCP is a web application reverse-engineering tool based on the Model Context Protocol, focusing on automated analysis of chat interfaces and streaming APIs, providing browser automation, network traffic capture, and intelligent pattern detection capabilities

KuzuDB MCP Server is a protocol server that provides access to graph databases, supporting web interface management, multi - agent coordination, automatic connection recovery, and AI - driven natural language query generation.

The MCP Browser is a headless browser interface based on Playwright, supporting web UI interaction and WebSocket real-time communication. It is designed for AI agent and MCP protocol integration.

GenPilot is a tool that simplifies the creation and management of single/multi - agent systems for generative AI. It supports the MCP protocol and provides terminal and web interfaces for rapid development and deployment.

An MCP server based on the Google Custom Search API, providing a standardized web search interface for large language models

NodeMCU MCP is a service for managing NodeMCU devices, providing RESTful API, WebSocket interfaces, and MCP protocol integration, supporting remote monitoring, device control, and interaction with AI assistants.

Ultra MCP is a multi-model AI protocol server that integrates AI models such as OpenAI and Gemini through a unified MCP interface, providing support for Claude Code and Cursor. It features zero-configuration installation, a built-in usage analysis dashboard, and a modern web interface.

MetaTrader MCP Server is a Model Context Protocol server built on Python, aiming to achieve automated trading on the MetaTrader platform through AI large language models (LLMs). It supports integration with LLM tools such as Claude Desktop and Open WebUI and provides an HTTP server 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.

Nexus MCP is a powerful personal assistant server that integrates Google Calendar, Obsidian notes, Trello boards, and web page parsing functions, providing a unified digital life management interface through FastMCP construction.

The OWL x WhatsApp MCP Server project is an application that integrates WhatsApp messaging functionality with a multi - agent collaboration framework. It enables AI agents to access, search, and send messages to WhatsApp data through the Streamlit interface and supports real - time web searches.