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Mcpconnectionhub
What is Mcpconnectionhub
MCPConnectionHub is a unified Model Context Protocol Gateway that serves as a central connection point for AI tools and services, facilitating communication between Large Language Model interfaces and various tools.
Use cases
Use cases include managing AI tool integrations in research projects, developing applications that require seamless communication between different AI services, and monitoring long-running AI operations.
How to use
MCPConnectionHub can be used via a command-line interface (CLI) or through web-based administration tools. Users can manage tools, check system status, and configure settings using the provided commands.
Key features
Key features include OpenAI API compatibility, a tool registry for easy discovery of tool capabilities, a job system for managing long-running operations, centralized configuration management, and both CLI and web-based administration interfaces.
Where to use
MCPConnectionHub is suitable for use in AI development environments, research institutions, and any applications requiring integration of multiple AI tools and services.
Overview
What is Mcpconnectionhub
MCPConnectionHub is a unified Model Context Protocol Gateway that serves as a central connection point for AI tools and services, facilitating communication between Large Language Model interfaces and various tools.
Use cases
Use cases include managing AI tool integrations in research projects, developing applications that require seamless communication between different AI services, and monitoring long-running AI operations.
How to use
MCPConnectionHub can be used via a command-line interface (CLI) or through web-based administration tools. Users can manage tools, check system status, and configure settings using the provided commands.
Key features
Key features include OpenAI API compatibility, a tool registry for easy discovery of tool capabilities, a job system for managing long-running operations, centralized configuration management, and both CLI and web-based administration interfaces.
Where to use
MCPConnectionHub is suitable for use in AI development environments, research institutions, and any applications requiring integration of multiple AI tools and services.
Content
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.