Yandex Tracker MCP Server
mcp-name: io.github.aikts/yandex-tracker-mcp
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with Yandex Tracker APIs. This server provides secure, authenticated access to Yandex Tracker issues, queues, comments, worklogs, and search functionality with optional Redis caching for improved performance.
Documentation in Russian is available here / Документация на русском языке доступна здесь.
Features
- Complete Queue Management: List and access all available Yandex Tracker queues with pagination support, tag retrieval, and detailed metadata
- Projects, Portfolios and Goals: Dedicated read and write tools with explicit schemas for each entity type in the Tracker "entities" API (opt-in via
TRACKER_ENTITIES_ENABLED) - User Management: Retrieve user account information, including login details, email addresses, license status, and organizational data
- Full Issue Lifecycle: Create, read, update, and manage issues with support for custom fields, attachments, and workflow transitions
- Status Workflow Management: Execute status transitions, close issues with resolutions, and navigate complex workflows
- Field Management: Access global fields, queue-specific local fields, statuses, issue types, priorities, and resolutions
- Boards and Sprints: List agile boards and their sprints to find sprint IDs for issue planning
- Advanced Query Language: Full Yandex Tracker Query Language support with complex filtering, sorting, and date functions
- Performance Caching: Optional Redis caching layer for improved response times
- Security Controls: Configurable queue access restrictions and secure token handling
- Multiple Transport Options: Support for stdio, SSE (deprecated), and HTTP transports for flexible integration
- OAuth 2.0 Authentication: Dynamic token-based authentication with automatic refresh support as an alternative to static API tokens
- Organization Support: Compatible with both standard and cloud organization IDs






