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:

• Getting Started with MCP
• Building Custom MCP Servers
• Database Integration
• Business Process Automation
• Retrieval-Augmented Generation (RAG)
• Multimodal AI Applications
• Building Autonomous AI Agents

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.