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MCPhub

MCPhub

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MCPhub is a management platform that integrates multiple MCP servers into a centralized dashboard, enabling real-time monitoring, configuration, and control of various AI tool servers through intuitive UI and segment-based access.
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Apr 28 2025
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MCPhub
Featured

What is MCPhub?

MCPhub serves as a comprehensive hub for managing multiple MCP (Model Context Protocol) servers. It allows users to seamlessly integrate popular servers like amap-maps, playwright, fetch, and slack into one platform. The system offers real-time status monitoring via a web dashboard, enabling dynamic addition, removal, or reconfiguration of servers without downtime. It supports full protocol compatibility, secure authentication, group-based permissions, and easy Docker deployment, facilitating efficient and flexible AI tool integrations across diverse scenarios.

Who will use MCPhub?

  • AI developers
  • System administrators
  • AI research teams
  • DevOps engineers

How to use the MCPhub?

  • Step1: Install MCPhub via Docker or build from source.
  • Step2: Configure MCP servers in the mcp_settings.json file with commands and environment variables.
  • Step3: Run the MCPhub server and access the dashboard via http://localhost:3000.
  • Step4: Log in with your credentials (default admin/admin123).
  • Step5: Add or manage MCP servers through the dashboard or configuration files.
  • Step6: Connect AI tools to the HTTP or SSE endpoints provided for real-time interaction.

MCPhub's Core Features & Benefits

The Core Features
  • Support for multiple MCP servers like amap-maps, playwright, fetch, slack.
  • Real-time status monitoring dashboard.
  • Dynamic server management without downtime.
  • Protocol compatibility with stdio and SSE.
  • Group-based access control and user management.
  • Secure authentication with JWT and bcrypt.
  • Docker deployment support.
  • Streamable HTTP and SSE endpoints for AI client integration.
The Benefits
  • Simplifies managing multiple MCP servers via a single interface.
  • Enables real-time monitoring and quick reconfiguration.
  • Supports seamless integration with various AI tools.
  • Scalable and flexible architecture for diverse use cases.
  • Secure and role-based access control.

MCPhub's Main Use Cases & Applications

  • Centralized management of multiple MCP AI tool servers for enterprise environments.
  • Real-time monitoring and control of AI protocols during development.
  • Quick deployment and configuration of AI services in containerized environments.
  • Organizing MCP servers into groups for scalable access and permissions.

FAQs of MCPhub

Developer

  • samanhappy