Multi-Project Coordinator FAQs

Question 1

Which AI coding tools does it integrate with?

Accepted Answer

It extends popular AI coding tools like Claude Code, Cursor, and others by connecting via the Model Context Protocol (MCP) using standard streamable-http transport.

Question 2

How does it improve a developer's workflow?

Accepted Answer

It streamlines development by automating project setup, centralizing oversight of multiple repositories, improving task management, ensuring documentation compliance, and enabling quick information retrieval, ultimately boosting efficiency and productivity.

Question 3

What are the core features of Multi-Project Coordinator?

Accepted Answer

Key features include scaffolding new projects with tracking files, generating comprehensive project health dashboards, tracking and updating task statuses (done, active, blocked), enforcing end-of-session documentation, and performing full-text search across all markdown files within managed projects.

Question 4

How do I connect Multi-Project Coordinator to my projects?

Accepted Answer

You can connect it to any repository by adding a simple configuration to your `.mcp.json` file, specifying the 'multi-project-coordinator' server type and its local URL, typically 'http://127.0.0.1:8000/mcp'.

Question 5

What is Multi-Project Coordinator?

Accepted Answer

Multi-Project Coordinator is an MCP server designed to manage cross-repository project state. It centralizes tracking of dashboards, tasks, logs, and pipelines, all accessible from a single AI session.

Multi-Project Coordinator

Multi-Project Coordinator

주요 기능

사용 사례

주요 기능

사용 사례