What is the MCP Server?

The MCP (Model Context Protocol) Server is a tool that helps collect and structure project portfolio information through a guided conversation flow, making it easier to manage and analyze project data.

What are the prerequisites for installing MCP Server?

To install MCP Server, you need Node.js 18.x or higher, npm or yarn, and Docker (for containerized deployment).

How do I install MCP Server?

Clone the repository, install dependencies using npm install, and build the project using npm run build.

How do I run MCP Server in development mode?

Start the development server using the command npm run dev.

How do I run MCP Server in production mode?

Start the production server using the command npm start.

How can I deploy MCP Server using Docker?

Build the Docker image using docker build -t project-portfolio-guide . and run it with docker run -p 3000:3000 project-portfolio-guide.

What are the key API endpoints of MCP Server?

The key API endpoints are POST /message for sending messages and receiving conversation steps, and GET /health for checking server health status.

How do I deploy MCP Server to Smithery.ai?

Install the Smithery CLI, log in to Smithery, and deploy the server using the smithery deploy command.

What environment variables can I use to configure MCP Server?

You can configure the server using the PORT environment variable for the server port number and NODE_ENV for the Node environment.

What is the license for MCP Server?

The MCP Server is licensed under the MIT License.

How does MCP Server integrate with UBOS?

MCP Server provides structured data that enhances AI Agent capabilities within the UBOS platform, enabling automated workflow orchestration, custom AI Agent development, and Multi-Agent System development for project portfolio management.