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Yandex Tracker

Integrates AI assistants with the Yandex Tracker task management system via the Model Context Protocol.

About

This project develops a Model Context Protocol (MCP) server designed to seamlessly integrate AI assistants with the Yandex Tracker task management system. Built on Node.js and TypeScript, it acts as a bridge, enabling AI to perform various operations within Yandex Tracker, such as creating, updating, and searching tasks, managing comments, and interacting with project queues, all through a standardized MCP interface.

Key Features

  • Comprehensive task management including creation, updates, search, and status transitions.
  • 3 GitHub stars
  • Ability to add and retrieve comments for Yandex Tracker issues.
  • Access to project queues and detailed queue information.
  • User profile retrieval and user search capabilities.
  • AI-driven content generation and analysis prompts for tasks and sprints.

Use Cases

  • Facilitating AI-powered analysis of sprint progress and task groups.
  • Generating automated daily work reports based on Yandex Tracker data.
  • Automating Yandex Tracker operations via AI assistants for enhanced workflow.
Yandex Tracker MCP: AI Task & Workflow Management