Mcp Servers

1 MIT

FreeCommunity

AI Systems

This repository offers MCP servers for different purposes, aiming to support developers who want to build similar systems.

What is Mcp Servers

MCP_Servers is a repository that provides various MCP servers designed to assist developers in building similar systems for different purposes.

Use cases

Use cases include building prototype applications, testing server responses, and educational projects where students learn about server management and development.

How to use

Developers can clone the repository and follow the provided documentation to set up and customize the MCP servers according to their specific needs.

Key features

MCP_Servers includes a variety of server configurations, easy setup instructions, and support for different programming environments, making it versatile for developers.

Where to use

MCP_Servers can be used in software development, testing environments, and educational purposes, where developers need to create or simulate server functionalities.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Mcp Servers

MCP_Servers is a repository that provides various MCP servers designed to assist developers in building similar systems for different purposes.

Use cases

Use cases include building prototype applications, testing server responses, and educational projects where students learn about server management and development.

How to use

Developers can clone the repository and follow the provided documentation to set up and customize the MCP servers according to their specific needs.

Key features

MCP_Servers includes a variety of server configurations, easy setup instructions, and support for different programming environments, making it versatile for developers.

Where to use

MCP_Servers can be used in software development, testing environments, and educational purposes, where developers need to create or simulate server functionalities.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

MCP_Servers

This repository offers MCP servers for different purposes, aiming to support developers who want to build similar systems.

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

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