MCP

The Tracker Boot MCP server implements the Model Context Protocol (MCP), letting AI assistants like Claude fetch stories, manage tasks, and read iteration analytics directly from your project, without leaving their workspace.

How it works

Every supported client connects to one hosted endpoint: https://trackerboot.com/mcp. Interactive clients open Tracker Boot in your browser so you can sign in. Headless clients send a project-restricted API key instead.

1 Your AI client Choose a supported client below
2 trackerboot.com/mcp One hosted MCP endpoint
3 Your projects Access follows your account

Before you connect

You need:

  1. A Tracker Boot account.
  2. One of the clients covered in the MCP Setup Guide.

That is all. Follow the sign-in step for your client after you add the server.

Available tools

Once connected, your AI client can call these operations against your projects:

Tool Description Parameters Returns
tb_get_story Fetch story details storyId Complete story details
tb_get_story_tasks Fetch tasks in a story storyId List of tasks (title, finished) in a story
tb_get_story_comments Fetch comments in a story storyId List of comments (content) in a story
tb_get_current_iteration Fetch current iteration with stories projectId Iteration data with list of stories including cycle time details
tb_create_story Create a new story projectId, title, description (optional), storyType (optional) Details of the created story
tb_update_story_title Update the title of a story storyId, title Details of the updated story
tb_update_story_description Update the description of a story storyId, description Details of the updated story
tb_update_story_status Update the status of a story storyId, status Details of the updated story
tb_create_task Create a new task in a story storyId, title Details of the created task
tb_batch_create_tasks Create multiple tasks in a story storyId, titles Details of the created tasks
tb_update_task Update a task in a story taskId, storyId, finished, title (optional) Details of the updated task
tb_create_comment Create a new comment in a story storyId, content Details of the created comment
tb_get_projects Get the list of projects — List of projects that the user has access to
tb_search_stories Search stories by keyword, labels, and status projectId, query (optional), labels (optional), status (optional) List of stories matching the search criteria
tb_update_story_estimate Update the estimate of a story storyId, estimate Details of the updated story
tb_get_project_members Get the list of project members projectId List of members of a project
tb_update_story_owners Assign or remove owners from a story storyId, addOwnerIds, removeOwnerIds Details of the updated story
tb_add_story_label Add a label to a story storyId, label Label id, name, and count
tb_remove_story_label Remove an existing label from a story storyId, label Label id, name, and count

Next steps

  • MCP Setup Guide: Step-by-step setup for Claude Code, Codex, Cursor, VS Code, Claude.ai, ChatGPT, and GitHub Copilot, plus a self-managed Docker alternative.