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mcp-portal

MCP(模型上下文协议)是一种由Anthropic引入的通信协议,旨在使AI模型(如Claude)能够访问外部工具,如网页浏览、数据库访问和图像生成。MCP门户提供了一个综合性平台,包含文档、服务器实现、工具集成、互动实验室和社区资源。用户可以通过互动实验室学习MCP的基础知识,构建自定义MCP服务器,集成数据库,自动化业务流程,以及开发多模态AI应用和自主代理系统。门户还提供了使用案例和入门指南,帮助用户快速上手并加入社区讨论。此外,用户可以在本地运行MCP生态全景图,并通过贡献代码或文档参与项目开发。

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README

MCP Portal

Welcome to the official community portal for the Model Context Protocol (MCP)!

What is MCP?

Model Context Protocol (MCP) is a communication protocol that allows AI models to access external tools. It was introduced by Anthropic and enables Claude to use a wide range of capabilities, from browsing the web to accessing databases and generating images.

MCP Landscape

We've added a comprehensive Model Context Protocol (MCP) Landscape visualization that maps out the growing ecosystem of MCP clients, servers, and tools.

Key sections of the landscape include:

  • MCP Architecture (Hosts, Clients, Servers)
  • Client Applications (Chat Apps, IDEs, Agent Frameworks)
  • Server Categories (Databases, Collaboration Tools, Web Access, etc.)
  • Infrastructure & Hosting solutions
  • Marketplace and discovery platforms

About This Portal

This portal serves as a comprehensive hub for:

  • MCP Documentation & Best Practices
  • Server Implementations & Examples
  • Tool Integrations & Libraries
  • Interactive Labs & Tutorials
  • Community Resources & Case Studies
  • Docker Images & Deployment Guides

Hands-On Labs

Explore our interactive labs to learn MCP through practical examples:

View all labs ?

MCP Server Implementations

Browse our collection of MCP servers with implementation details, compatibility information, and usage examples.

Use Cases

Discover how organizations are using MCP to build powerful AI applications:

  • Enterprise data analysis with private databases
  • Document processing and information extraction
  • AI-powered customer service automation
  • Multimodal content creation and editing
  • Autonomous agent systems for complex tasks

Getting Started

  1. Visit the Getting Started Guide
  2. Try the Interactive MCP Tutorial
  3. Join our Community Discussions

Running the MCP Landscape Locally

To run the MCP Landscape visualization locally:

  1. Clone this repository: git clone https://github.com/ajeetraina/mcp-portal.git
  2. Install dependencies: npm install
  3. Start the development server: npm run dev
  4. Open your browser to http://localhost:3000

Contributing

Contributions to this portal are welcome! Please see the CONTRIBUTING.md file for guidelines.

License

This project is licensed under the MIT License - see the LICENSE file for details.

help

Runtime guide

cloud

Hosted runtime

Hosted servers run from a provider-managed environment. You usually connect the MCP client to the hosted endpoint or follow the provider's authorization flow, without keeping a local process alive

  1. Open provider connection page
  2. Authorize or copy endpoint
  3. Connect from your MCP client
terminal

Local runtime / other methods

Local servers run on your own machine or infrastructure. You normally copy the server_config into your MCP client, install the required package, and provide env variables from env_schema when needed

  1. Copy server_config
  2. Install required package
  3. Fill env variables and restart client