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MCP-Forge

by iddv

MCP-Forge is a powerful framework for dynamically generating, managing, and monitoring Model Context Protocol (MCP) servers. It enables you to create specialized MCP servers on demand through a centralized interface using the official MCP SDK.

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What is MCP-Forge?

MCP-Forge is a framework for dynamically generating, managing, and monitoring Model Context Protocol (MCP) servers. It allows users to create customized MCP servers from templates with specific capabilities.

How to use MCP-Forge?

To use MCP-Forge, first clone the repository, create a virtual environment, and install the dependencies. Then, start the forge server and use the client to create, list, start, stop, restart, and delete servers. You can also customize servers by adding custom handlers and configuring server options.

Key features of MCP-Forge

  • Dynamic Server Generation

  • Flexible Templating System

  • Server Lifecycle Management

  • Built-in Customizations

  • Advanced Monitoring

  • Auto-Scaling

  • Centralized Logging

  • Real-time Status Reporting

  • Alerting System

  • Comprehensive API

  • MCP SDK Integration

  • Enterprise-Grade Security

Use cases of MCP-Forge

  • Creating specialized MCP servers on demand

  • Managing multiple MCP servers from a single control point

  • Monitoring server resources and performance

  • Automating server scaling based on demand

  • Centralizing logging and status reporting

  • Implementing security protection mechanisms

FAQ from MCP-Forge

What is MCP?

MCP stands for Model Context Protocol, a protocol likely used for communication and data exchange between different components or systems.

What are the system requirements for MCP-Forge?

MCP-Forge requires Python 3.7+, MCP SDK 1.6.0+, and several other Python packages listed in the README.

How do I install MCP-Forge?

Clone the repository, create a virtual environment, and install the required dependencies using pip install -r requirements.txt.

How do I create a new server?

Use the client.py script with the create command, specifying the server name, description, and capabilities.

How do I monitor server performance?

Use the client.py script with the stats command to get server performance metrics.