Backlog Manager FAQs

Question 1

What is Backlog Manager?

Accepted Answer

Backlog Manager is a file-based MCP (Machine-Consumable Programming) server designed for managing issues and tasks, primarily for AI agents. It allows you to create, track, and manage project backlogs using a simple JSON file.

Question 2

How do I configure Backlog Manager?

Accepted Answer

Configuration is done through environment variables set in a `.env` file. You can specify the transport mode (SSE or stdio), host, port, and the path to the tasks storage file.

Question 3

What are the key features of Backlog Manager?

Accepted Answer

Key features include issue and task management, status workflow tracking (New, InWork, Done), flexible transport options (SSE and stdio), and file-based storage for easy backup and version control.

Question 4

How does Backlog Manager integrate with AI agents?

Accepted Answer

It uses the Anthropic MCP protocol and supports both SSE (HTTP) and stdio transports, making it easy to integrate with AI assistants like Claude and other MCP-compatible clients. Configuration examples are available for Windsurf and n8n.

Question 5

What are the prerequisites for using Backlog Manager?

Accepted Answer

You need Python 3.12 or higher, a package manager (uv or pip), and optionally Docker for containerized deployment. You'll also need an MCP client such as Claude Code or Windsurf to interact with the server.

Backlog Manager

Backlog Manager

Key Features

Use Cases

Key Features

Use Cases