Find Market Leading MCP Servers and Clients

The largest collection of MCP Servers.

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MCP Terminal
MCP Terminal by GeLi2001

run and use mcp servers in your terminal

Learn TypeScript chatting effortlessly with AI

learning typescript
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MCP 聊天应用
MCP 聊天应用 by machaojin1917939763

基于MCP(Model Context Protocol)的智能聊天应用,支持Web和桌面环境。集成OpenAI/Anthropic API,提供MCP服务器的所有工具能力。简洁现代的UI设计,支持跨平台部署。

Nerve
Nerve by evilsocket

The Simple Agent Development Kit.

MCP Agents Cloud
MCP Agents Cloud by HiCoderMonkey

MCP Agents Cloud是一个提供管理MCP服务器和代理(Agent)的平台。

Kopilot MCP
Kopilot MCP by KokoiRuby

A MCP client/server to interact with Kubernetes resources using natural language.

It shows how to use model-context-protocol.

Demonstrate how to implement MCP Client in Flutter application with AI.

codemcp
codemcp by ezyang

Coding assistant MCP for Claude Desktop

Mistr. Agent
Mistr. Agent by itisaevalex

A MCP client that enables Mistral AI models to autonomously execute complex tasks across web and local environments through standardized agentic capabilities.

An MCP client for slack in Typescript

Agent implementing code actions and MCP protocol based on OpenAI LLMs.

Smolagents
Smolagents by huggingface

🤗 smolagents: a barebones library for agents that think in python code.

Deepin MCP
Deepin MCP by toberyan

deepin-mcp-python

Toolbase
Toolbase by Toolbase-AI

A desktop application that adds powerful tools to Claude and AI platforms

Simple example client demonstrating how to connect to MCP servers over HTTP (SSE)

A Streamlit-powered Jira assistant with MCP integration. Create, search, and manage Jira tickets through a clean tabbed interface using natural language commands or direct forms. Built with Python and MCP framework.

jira googlecloudplatform
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ClaudeR
ClaudeR by IMNMV

R MCP Integration for Claude

Adapter project allowing Mistral models to interact with the modelcontextprotocol for standardized agentic capabilities.

Cursor Model Context Protocol (MCP) extension for Chrome - with comprehensive test coverage

cursor mcp
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MCP Agent
MCP Agent by justinhuang0208

This is a LaunchBar version of Raycast's AI extension function, which is integrated with Langchain and MCP to automatically complete tasks based on your prompt.

pydantic-mcp
pydantic-mcp by rectalogic

Model Context Protocol tool calling support for Pydantic AI

Quick Start MCP with Langchain

langchain mcp
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mathgpt math-solver
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Frequently Asked Questions

What is MCP (Model Context Protocol)?

MCP is an open-source protocol developed by Anthropic that enables AI systems like Claude to securely connect with various data sources. It provides a universal standard for AI assistants to access external data, tools, and prompts through a client-server architecture.

What are MCP Servers?

MCP Servers are systems that provide context, tools, and prompts to AI clients. They can expose data sources like files, documents, databases, and API integrations, allowing AI assistants to access real-time information in a secure way.

How do MCP Servers work?

MCP Servers work through a simple client-server architecture. They expose data and tools through a standardized protocol, maintaining secure 1:1 connections with clients inside host applications like Claude Desktop.

What can MCP Servers provide?

MCP Servers can share resources (files, docs, data), expose tools (API integrations, actions), and provide prompts (templated interactions). They control their own resources and maintain clear system boundaries for security.

How does Claude use MCP?

Claude can connect to MCP servers to access external data sources and tools, enhancing its capabilities with real-time information. Currently, this works with local MCP servers, with enterprise remote server support coming soon.

Are MCP Servers secure?

Yes, security is built into the MCP protocol. Servers control their own resources, there's no need to share API keys with LLM providers, and the system maintains clear boundaries. Each server manages its own authentication and access control.

What is mcp.so?

mcp.so is a community-driven platform that collects and organizes third-party MCP Servers. It serves as a central directory where users can discover, share, and learn about various MCP Servers available for AI applications.

How can I submit my MCP Server to mcp.so?

You can submit your MCP Server by creating a new issue in our GitHub repository. Click the 'Submit' button in the navigation bar or visit our GitHub issues page directly. Please provide details about your server including its name, description, features, and connection information.