BrowserTools MCP is a powerful browser monitoring and interaction tool that enables AI to perform intelligent analysis and operations on browsers through a Chrome extension and a local server.

The Supabase MCP Server is a tool that connects Supabase projects with AI assistants. It standardizes the interaction between large language models (LLMs) and external services through the Model Context Protocol (MCP), enabling functions such as database management, configuration acquisition, and data querying.

The official ElevenLabs MCP server provides the ability to interact with text - to - voice and audio processing APIs

iMCP is a macOS application that connects users' digital lives through AI. It supports interaction with clients such as Claude Desktop via the Model Context Protocol (MCP), providing various functions including calendar, contacts, location, maps, messages, reminders, and weather.

wcgw is an MCP server project that integrates Shell and code editing tools, allowing AI to execute commands, read and write files, edit code, etc. on the local machine. It provides multiple modes (such as Architect Mode, Code Writing Mode, etc.), supports task checkpoint saving, terminal interaction, syntax checking, etc., and is suitable for scenarios such as code development and problem troubleshooting.

MCP Unity is a Unity Editor extension that implements the Model Context Protocol. It bridges the interaction between AI assistants and Unity projects through a Node.js server, providing functions such as menu execution, object selection, and component update.

This is a curated list of Web3 Model Context Protocol (MCP) servers, covering multiple categories such as chain interaction, trading, DeFi, market data, tools, and social. MCP is an open protocol that standardizes how applications provide context to LLMs, similar to the USB - C port for AI applications. DeMCP is the first decentralized MCP network, focusing on providing self - developed and open - source MCP services for agents, supporting cryptocurrency payments, and redefining the security and reliability of MCP by combining TEE and blockchain registries.

The Kubectl MCP Tool is a Kubernetes interaction tool based on the Model Context Protocol (MCP), allowing AI assistants to interact with Kubernetes clusters using natural language.

An MCP server for managing Docker through natural language, supporting container orchestration, debugging, and data management.

The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.

Wren Engine is a semantic engine designed for MCP clients and AI agents, providing semantic layer support to enable AI to accurately understand enterprise data models and business logic. It supports multiple data sources and is embedded in MCP clients to ensure the accuracy and governance of data interaction.

Godot MCP is a Model Context Protocol server designed for the Godot game engine, providing functions such as editor control, project execution, and debug output capture, and supporting the interaction between AI assistants and the Godot engine.

This project provides support for Model Context Protocol (MCP) tool calls for LangChain, enabling interaction with AI models through the MCP toolkit, such as file reading and summary generation.

An n8n workflow management protocol server designed for AI assistants, supporting the creation, execution, and monitoring of workflows through natural language interaction.

An MCP server project that allows clients to interact with Twitter through Claude, supporting tweet posting and search functions.

RhinoMCP is a tool that connects Rhino 3D modeling software with AI agents. It enables two - way interaction through the Model Context Protocol and supports 3D object operations, document inspection, and script execution.

A CLI tool that converts OpenAPI specifications into MCP-compatible servers, supporting multiple transport protocols and authentication methods, facilitating the interaction between AI agents and REST APIs.

An MCP server that enables human-machine interaction via Discord, allowing AI assistants to ask humans for input or judgment when needed.

IDA Pro MCP Server is a plugin that enables remote interaction between AI assistants and IDA Pro through the Model Context Protocol interface, supporting binary analysis tasks such as disassembly, pseudocode retrieval, and function query.

An MCP server that enables LLM applications to interact with macOS through AppleScript, providing a standardized interface to control various system functions.

DroidMind is a bridge tool for controlling Android devices via AI, implementing the Model Context Protocol (MCP), allowing AI to interact securely with Android devices through natural language.

An MCP server project that enables interaction between Claude Desktop and Google Gemini AI models

Godot MCP is a plugin that connects the Godot engine with AI assistants. It enables two-way interaction through the Model Context Protocol and provides functions such as code assistance, scene operation, and project management.

A YNAB budget management MCP server built on the mcp - framework, providing tools for interacting with YNAB budgets and supporting functions such as budget query and transaction management.

Model Context Protocol (MCP) .NET sample library, demonstrating how to use the MCP protocol to standardize the context interaction of large language models (LLMs) in .NET applications. It includes examples such as a YouTube subtitle extractor, supports flexible switching of LLM providers, and enables the construction of AI workflows.

A modular computing platform server that provides SEC EDGAR data access and interaction for AI agents.

An MCP server that connects AI assistants to the Discord platform, providing various Discord interaction functions

A Node.js - based Synology NAS file operation service that enables interaction with AI assistants via the Model Context Protocol (MCP), providing functions such as login, file management, and search.

A Reddit interaction server specifically designed for AI agents, supporting content reading, creation, and sub - forum management, following the MCP protocol and integrating advanced functions such as rule compliance and intelligent replies.

The Revit MCP server is a TypeScript - based bridge service that enables real - time model data interaction between Claude AI and Autodesk Revit

ToolJet MCP is a bridge connecting AI assistants to the ToolJet platform, enabling programmatic interaction through the Model Context Protocol and supporting functions such as user management, workspace operations, and application management.

The Limitless MCP Server is a middleware that connects Limitless Pendant data with AI tools, enabling structured interaction through the Model Context Protocol (MCP) standard.

The Unity MCP Server is a C# - based Model Context Protocol (MCP) service used to connect the Unity editor with external large - language models (LLM) or cloud - based AI agents to achieve real - time automation and intelligent interaction.

This project implements a Model-Context Protocol (MCP) server and client for MinIO object storage, providing a standardized interaction method, supporting access to text/binary files, querying bucket lists, object operations, etc., and includes a basic client and an Anthropic AI integrated client.

Revit MCP integration is a bridge connecting Autodesk Revit and AI assistants, enabling model interaction through natural language.

This project uses Playwright for automated browser testing and is integrated and deployed with Cloudflare Workers, Browser Rendering, and @cloudflare/playwright, supporting web page interaction operations through an AI assistant.

An MCP protocol server that connects AI tools with the CheerLights IoT lighting system

Bonsai - mcp is a Blender plugin that implements the analysis and operation of IFC building models through IfcOpenShell, supporting the execution of building information model query tasks through interaction with LLMs such as Claude.

This project is a Model Context Protocol (MCP) adapter used to connect large language models (LLMs) with the Lisp development environment, supporting interaction through the lightweight Lisply protocol. The main functions include Lisp code evaluation, HTTP requests, and debugging support, suitable for scenarios such as AI-assisted symbolic programming and CAD design automation.

The project aims to connect RAG applications to open-webui through the MCP protocol to achieve model context interaction, including basic PoC verification, knowledge base integration, and client docking.