Forge MCP Server

What is Forge MCP Server?

Forge MCP Server is a Model Control Protocol (MCP) server that bridges Large Language Models (LLMs) to the Forge project scaffolding API. It enables AI assistants to generate project structures, boilerplate code, and configurations based on natural language descriptions. It is built with FastMCP and requires Python 3.13+.

How to use Forge MCP Server?

Install with Pipenv, then run fastmcp dev server.py. The server uses stdio for communication and exposes a tool called query_agent that accepts a natural language query string and returns a JSON response from the Forge API.

Key features of Forge MCP Server

• Easy integration with LLMs via the Model Control Protocol
• Connects to the Forge project scaffolding API
• Simple query interface for project generation
• Error handling and timeout management
• Built with FastMCP framework

Use cases of Forge MCP Server

• Scaffold new projects from natural language descriptions using an AI assistant
• Generate project boilerplate code and configurations automatically
• Integrate project scaffolding capabilities directly into LLM workflows
• Enable rapid prototyping by letting LLMs create project structures on demand

FAQ from Forge MCP Server

What is the Forge MCP Server?

It is an MCP server that acts as a bridge between LLMs and the Forge API, allowing AI assistants to scaffold projects based on user requirements.

What are the prerequisites for running Forge MCP Server?

Python 3.13+ and Pipenv are required.

How do I run the server locally?

Clone the repository, install dependencies with Pipenv, and execute fastmcp dev server.py.

What transport does the server use?

It uses stdio for communication by default.

What tool does the server expose?

It exposes a single tool, query_agent, which takes a query string describing the project and returns JSON from the Forge API.