aikts/yandex-tracker-mcp

Overview

An MCP server that provides access to Yandex Tracker via the Model Context Protocol. It uses OAuth2 for authentication and is written in Python. Enables AI tools to interact with Yandex Tracker issues and projects.

Best for

Best for
Developers building AI integrations with Yandex Tracker

Use cases

• Querying tasks and projects from Yandex Tracker
• Creating and updating issues through an AI assistant
• Automating workflow triggers based on Tracker state changes

How to use

Install

uvx yandex-tracker-mcp@latest

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, VS Code

Example client config

{\n  "mcpServers": {\n    "yandex-tracker": {\n      "command": "uvx",\n      "args": ["yandex-tracker-mcp@latest"],\n      "env": {\n        "TRACKER_TOKEN": "your_tracker_token_here",\n        "TRACKER_CLOUD_ORG_ID": "your_cloud_org_id_here",\n        "TRACKER_ORG_ID": "your_org_id_here"\n      }\n    }\n  }\n}

Notes

An MCP server that provides access to Yandex Tracker via the Model Context Protocol. It uses OAuth2 for authentication and is written in Python. Enables AI tools to interact with Yandex Tracker issues and projects.

81 stars on GitHub. Last updated 2026-05-23. Licensed Apache-2.0.

Use cases

• Querying tasks and projects from Yandex Tracker
• Creating and updating issues through an AI assistant
• Automating workflow triggers based on Tracker state changes

Pros

• Follows the MCP standard for interoperability with AI hosts
• Supports secure OAuth2 authentication
• Lightweight open source Python implementation

Cons

• Limited to Yandex Tracker only
• Requires setting up OAuth2 credentials
• Modest community adoption (81 stars)

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.