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by aikts • Workflow & Task Management
An MCP server that lets AI assistants securely access and manage Yandex Tracker queues, issues, users, comments, worklogs and search, with optional Redis caching and OAuth support.
List and browse Yandex Tracker queues, tags, versions, and queue-specific fields.
Retrieve and manage issues including descriptions, comments, links, attachments, worklogs and checklists.
Run complex searches and counts using Yandex Tracker Query Language with optional Redis caching and OAuth authentication.
This server exposes Yandex Tracker functionality via the Model Context Protocol so agents can list queues, fetch issue details, comments, attachments, worklogs, fields, statuses and run advanced queries. It supports multiple transports (stdio, streamable-http, SSE), optional Redis caching, and several authentication modes including OAuth, IAM and service accounts. The project provides deployment options (uvx, Docker) and OAuth storage backends (in-memory or Redis) for both development and production use. It is designed to make integration of Yandex Tracker into MCP-compatible clients simple, secure and performant.
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