Yandex Tracker FAQs

Question 1

What are the prerequisites for setting up Yandex Tracker MCP Server?

Accepted Answer

To set up the server, you will need Python 3.12 or higher, a valid Yandex Tracker API token with appropriate permissions, and an optional Redis server if you wish to utilize the caching functionality. It supports both Yandex Cloud and Yandex 360 organization IDs.

Question 2

What is Yandex Tracker MCP Server?

Accepted Answer

Yandex Tracker MCP Server is a Model Context Protocol (MCP) server that enables AI assistants to securely interact with Yandex Tracker APIs. It provides authenticated access to manage issues, queues, comments, and perform advanced searches within your Yandex Tracker instance.

Question 3

What specific Yandex Tracker features can AI assistants access?

Accepted Answer

AI assistants can leverage complete queue management (with pagination), detailed issue operations (retrieve, comments, links, worklogs), field management (global/local), and full Yandex Tracker Query Language support for complex filtering and sorting.

Question 4

Does it offer performance enhancements or security features?

Accepted Answer

Yes, it includes an optional Redis caching layer to significantly improve response times and offers configurable security controls for precise queue access restrictions and secure handling of API tokens.

Question 5

Which AI clients and IDEs can integrate with this server?

Accepted Answer

The server provides seamless integration with a variety of popular AI clients and IDEs, including Claude Desktop/Code, Cursor, Windsurf, Zed, and GitHub Copilot (via VS Code), with clear configuration examples for each.

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