What is the PM Agent MCP Server?

The PM Agent MCP (Model Context Protocol) Server is a JSON-RPC 2.0 based server designed for project management and the orchestration of various AI agents. It provides a centralized hub for managing projects, tasks, and AI agents, facilitating seamless integration with development environments like the Cursor editor.

What is MCP (Model Context Protocol)?

MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). An MCP server acts as a bridge, enabling AI models to access and interact with external data sources and tools.

What are the main features of the PM Agent MCP Server?

The main features include project and task management, AI agent management, data persistence (local file storage), and Cursor editor integration.

How do I install the PM Agent MCP Server?

To install the server, clone the repository, install the dependencies using pip install -r requirements.txt, and then run the server using python server.py.

How do I integrate the PM Agent MCP Server with Cursor?

To integrate with Cursor, run the PM Agent MCP Server, use the MCP: Add Server command in Cursor to register the server (usually http://localhost:8082), and then invoke methods and utilize agents directly within Cursor.

What types of AI agents does the PM Agent MCP Server support?

The server supports PM Agents, Designer Agents, Frontend Agents, Backend Agents, and AI Engineer Agents.

How is data stored in the PM Agent MCP Server?

Session data is stored in JSON format on the local file system. The data storage path is api/data/sessions/{session_id}.json.

How can I export and import data in the PM Agent MCP Server?

You can export the current session data to a JSON file using the export_data method and import data from a file using the import_data method.

What is the purpose of the config.json file?

The config.json file centralizes all project settings, including URLs, API keys, and environment configurations.

How do I test the PM Agent MCP Server?

You can test the server by running the scripts npm run test:mcp for the production server and npm run test:mcp:local for the local server.

What is Smithery and how does it integrate with the PM Agent MCP Server?

Smithery is a tool that allows you to add custom functionalities to Cursor. The PM Agent MCP Server provides several commands to facilitate Smithery registration, such as npm run smithery:simple and npm run smithery:register.

What should I do if I encounter a “No connection configuration found” error during Smithery registration?

If you encounter this error, try initializing Smithery settings using npm run smithery:clean, then use the simple registration script npm run smithery:simple. If the issue persists, restart Cursor and check if Smithery is displayed correctly.

What are some common use cases for the PM Agent MCP Server?

Common use cases include AI-driven project management, software development, content creation, customer support, and data analysis.

How does UBOS enhance the capabilities of the PM Agent MCP Server?

UBOS is a comprehensive AI Agent Development Platform that enables you to orchestrate AI agents, connect them with enterprise data, build custom AI agents with your own LLM models, and create sophisticated Multi-Agent Systems, thus amplifying the capabilities of the PM Agent MCP Server.