MCPHub – A one – stop aggregation platform for MCP servers

What is MCPHub?

MCPHub is a one-stop aggregation platform for MCP (Model Context Protocol) servers. It supports the integration of multiple MCP servers into various streaming HTTP (SSE) endpoints. With an intuitive web interface and robust protocol handling capabilities, MCPHub simplifies the integration process of AI tools. It supports a variety of common servers, such as amap-maps and Playwright, and offers a centralized management console for real-time monitoring of server status and performance metrics. MCPHub supports rapid deployment via Docker, enhancing the efficiency of AI application development and management.

Key Features of MCPHub

• Out-of-the-box support: Compatible with a wide range of common MCP servers such as amap-maps, Playwright, etc.

• Centralized Management: Real-time server status and performance monitoring via a clean and user-friendly web UI. Centralized configuration management for all servers.

• Protocol Compatibility: Supports both stdio and SSE MCP protocols, and can proxy stdio servers as SSE servers.

• Hot-swappable Configuration: Dynamically add, remove, or update server configurations at runtime without service downtime. Changes take effect immediately.

• Access Control: Custom group-based and role-based permission control ensures platform security.

• Secure Authentication: Built-in user management using JWT and bcrypt for authentication and authorization to protect user data.

• Docker Deployment: Provides Docker images for fast and easy deployment, simplifying the installation process.

Technical Principles of MCPHub

• Protocol Aggregation: MCP (Model Context Protocol) is a communication protocol used in AI tool integration. MCPHub implements this protocol to aggregate multiple MCP servers into a unified platform. Internally, MCPHub supports protocol conversion between stdio and SSE, enabling centralized management and seamless communication between clients and servers.

• Web-Based Management: MCPHub offers a web-based interface for users to configure, monitor, and manage servers through a browser. Integrated monitoring tools collect and display real-time performance data, helping users identify and resolve issues efficiently.

• Dynamic Configuration & Hot-Swapping: Leveraging hot-swapping technology, configuration changes can be made during runtime without restarting the service. An internal configuration management system ensures real-time updates and persistence, so configurations remain effective even after a restart.

Project Links

• Official Website: https://www.hubmcp.dev/

• GitHub Repository: https://github.com/samanhappy/mcphub

Use Cases of MCPHub

• AI Tool Integration: Centrally manage various AI tools to simplify integration and boost development efficiency.

• Multi-Model Collaboration: Enable seamless collaboration among multiple AI models to enhance system capabilities.

• On-Premise Deployment: Local deployment ensures data security and better meets privacy requirements.

• Development & Testing: Quickly set up environments for development and testing, accelerating AI project delivery.

• Cross-Team Collaboration: Share AI resources across teams to foster collaboration and optimize resource usage.