MCP Connection Hub

A unified Model Context Protocol Gateway that provides a central connection point for AI tools and services.

Overview

MCP Connection Hub acts as a bridge between Large Language Model interfaces (like OpenWebUI) and various tools and services. It provides:

A unified OpenAI-compatible API endpoint
Support for synchronous and asynchronous tool execution
A pluggable architecture for easy tool integration
Comprehensive job management for long-running operations
Command-line and web-based administration interfaces

Key Features

OpenAI API Compatibility: Works seamlessly with OpenWebUI and other LLM interfaces
Tool Registry: Easy registration and discovery of tool capabilities
Job System: Manage long-running operations with progress tracking
Configuration Management: Centralized settings for all system components
Administration Interfaces: Both CLI and web-based management tools

Project Structure

MCPConnectionHub/
├── app/                    # Main application code
│   ├── api/                # API endpoints and routes
│   ├── cli/                # Command-line interface
│   ├── core/               # Core system components
│   ├── db/                 # Database models and operations
│   └── tools/              # Tool implementations
├── docs/                   # Documentation
└── docker-compose.yml      # Docker configuration

Installation & Setup

(Installation instructions will be added once the initial development is complete)

Configuration

The system can be configured through:

Environment variables
Configuration files
Database settings (for persistent configuration)

Usage

Command Line Interface

The system includes a comprehensive CLI for administration:

# Show help
./mcp-cli --help

# List available tools
./mcp-cli tool list

# Check system status
./mcp-cli system status

# View configuration
./mcp-cli config get

See the CLI Quick Start Guide for more information.

API Usage

(API usage instructions will be added as the system is developed)

Development Status

This project is currently under active development. See the PROJECT_PROGRESS.md file for current status.

This server cannot be installed

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remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

A unified Model Context Protocol Gateway that bridges LLM interfaces with various tools and services, providing OpenAI API compatibility and supporting both synchronous and asynchronous tool execution.

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