MCPhub
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.
Added on:
Created by:
Apr 28 2025
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.
Added on:
Created by:
Apr 28 2025
samanhappy
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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
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