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yandex-tracker-mcp

by aikts·73·Score 48

An MCP server providing full Yandex Tracker API integration with OAuth2 support and caching capabilities.

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Overview

This is a comprehensive MCP server that enables AI assistants to interact with Yandex Tracker APIs. It provides secure, authenticated access to issues, queues, comments, worklogs, and search functionality. The server supports both standard API tokens and OAuth2 authentication with automatic refresh, along with optional Redis caching for improved performance. It's designed for seamless integration with popular AI clients like Claude Desktop, Claude Code, Cursor, and GitHub Copilot.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

you:AI assistant managing Yandex Tracker issues through natural language commands
you:Development team automating issue tracking workflows via AI
you:Product managers querying ticket data and generating reports using AI
you:What authentication methods are supported?
you:Which AI clients are supported?

When to choose this

Choose this server if you're working with Yandex Tracker and want AI assistants to manage issues, queues, and workflows through natural language commands.

When NOT to choose this

Avoid this if you need integration with non-Yandex project management systems or if you're not already using Yandex Tracker in your workflow.

Tools this server exposes

12 tools extracted from the README
  • queues_get_all

    List all available Yandex Tracker queues

  • users_get_myself

    Get information about the authenticated user

  • issues_get

    Retrieve specific issue details by key

  • issues_create

    Create a new issue in Yandex Tracker

  • issues_update

    Update an existing issue with new information

  • issues_transitions_execute

    Execute a status transition for an issue

  • issues_search

    Search for issues using Yandex Tracker Query Language

  • queues_get_by_key

    Get detailed information about a specific queue

  • worklogs_get_by_issue

    Retrieve worklogs for a specific issue

  • worklogs_create

    Add a worklog entry to an issue

  • comments_get_by_issue

    Get all comments for a specific issue

  • comments_create

    Add a comment to an issue

Comparable tools

github-mcpjira-mcpnotion-mcp

Installation

Installation

  1. **Using uvx (Recommended)**
uvx yandex-tracker-mcp@latest
  1. **Using Docker**
docker run --rm -i ghcr.io/aikts/yandex-tracker-mcp:latest
  1. **Claude Desktop Configuration**
{
  "mcpServers": {
    "yandex-tracker": {
      "command": "uvx",
      "args": ["yandex-tracker-mcp@latest"],
      "env": {
        "TRACKER_TOKEN": "your_tracker_token_here",
        "TRACKER_CLOUD_ORG_ID": "your_cloud_org_id_here",
        "TRACKER_ORG_ID": "your_org_id_here"
      }
    }
  }
}

Required Environment Variables

  • TRACKER_TOKEN - Your Yandex Tracker OAuth token
  • TRACKER_IAM_TOKEN - IAM token (alternative)
  • TRACKER_CLOUD_ORG_ID or TRACKER_ORG_ID - Your organization ID

FAQ

What authentication methods are supported?
The server supports OAuth tokens, IAM tokens, and service account credentials with either TRACKER_SA_KEY_ID, TRACKER_SA_SERVICE_ACCOUNT_ID, and TRACKER_SA_PRIVATE_KEY.
Which AI clients are supported?
The server works with Claude Desktop, Claude Code, Cursor, Windsurf, Zed, GitHub Copilot (VS Code), and any other MCP-compliant client.

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Last updated · Auto-generated from public README + GitHub signals.