Model Context Protocol Hub

0
0 Reviews
72 Stars
MCP Hub provides a single interface to manage and monitor multiple MCP servers, supporting local and remote servers, real-time updates, and capabilities discovery.
Added on:
Created by:
Apr 28 2025
Model Context Protocol Hub

Model Context Protocol Hub

0 Reviews
72
0
Model Context Protocol Hub
MCP Hub provides a single interface to manage and monitor multiple MCP servers, supporting local and remote servers, real-time updates, and capabilities discovery.
Added on:
Created by:
Apr 28 2025
ravitemer
Featured

What is Model Context Protocol Hub?

MCP Hub acts as a central coordinator for Model Context Protocol (MCP) servers, simplifying server management, tool execution, resource access, and real-time status monitoring. It supports both local (STDIO) and remote (streamable-http/SSE) MCP servers, implements OAuth2.0 authentication, and offers features like server health checks, capability updates, and event streaming. This allows users to efficiently interface with multiple MCP servers, execute tools, access resources, and keep track of server status dynamically, ensuring seamless integration and management within AI workflows.

Who will use Model Context Protocol Hub?

  • Developers
  • AI researchers
  • System administrators
  • DevOps engineers
  • Integration specialists

How to use the Model Context Protocol Hub?

  • Step 1: Install MCP Hub via npm
  • Step 2: Configure managed MCP servers in JSON config file
  • Step 3: Start MCP Hub server using command line options
  • Step 4: Connect clients to the hub's SSE endpoint for real-time updates
  • Step 5: Use REST API endpoints to execute tools, manage servers, and access resources
  • Step 6: Monitor server and connection statuses via live updates and /health endpoint

Model Context Protocol Hub's Core Features & Benefits

The Core Features
  • Manage multiple MCP servers (start/stop/restart)
  • Execute tools and access resources on MCP servers
  • Real-time status and capability updates via SSE
  • Supports local (STDIO) and remote (HTTP/SSE) connections
  • OAuth2.0 authentication and header-based token auth
  • Server health monitoring and automatic recovery
  • Unified REST API for all functions
  • Client connection management
The Benefits
  • Simplifies multi-server MCP integration
  • Enables real-time monitoring and updates
  • Supports both local and remote server configurations
  • Automates server health checks and recovery
  • Provides a unified API for tool and resource access

Model Context Protocol Hub's Main Use Cases & Applications

  • Integrate multiple MCP servers for AI model management
  • Monitor server health and capability updates in real time
  • Automate tool execution and resource access within AI workflows

FAQs of Model Context Protocol Hub

Developer

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Research And Data

A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.

AI Chatbot

Integrates APIs, AI, and automation to enhance server and client functionalities dynamically.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
An advanced clinical evidence analysis server supporting precision medicine and oncology research with flexible search options.
A platform collecting A2A agents, tools, servers, and clients for effective agent communication and collaboration.
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
An AI agent controlling macOS using OS-level tools, compatible with MCP, facilitating system management via AI.
PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.
A platform for managing and deploying autonomous agents, tools, servers, and clients for automation tasks.
Enables interaction with powerful Text to Speech and video generation APIs for multimedia content creation.
An MCP server providing API access to RedNote (XiaoHongShu, xhs) for seamless integration.