MCP.directory
Yandex Tracker

Yandex Tracker

aikts

Connects AI assistants to Yandex Tracker for managing issues, queues, users, and projects. Provides full access to Yandex Tracker's API with OAuth authentication and optional Redis caching.

Integrates with Yandex Tracker for comprehensive issue management, queue operations, user management, and project data access with OAuth 2.0 authentication and Redis caching support.

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GitHub

What it does

  • Create and update Yandex Tracker issues
  • Manage queues with pagination and metadata
  • Execute status transitions and workflow changes
  • Search issues using Yandex Tracker Query Language
  • Retrieve user account and organizational data
  • Access custom fields and project configurations

Best for

Teams using Yandex Tracker for project managementAutomating issue tracking workflowsAI assistants helping with ticket management
OAuth 2.0 authenticationOptional Redis caching for performanceFull Query Language support

About Yandex Tracker

Yandex Tracker is a community-built MCP server published by aikts that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate Yandex Tracker with project management software for advanced issue tracking, project plan templates, Gantt cha

How to install

You can install Yandex Tracker in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

License

Yandex Tracker is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

Yandex Tracker MCP Server

PyPI - Version Test Workflow Release Workflow

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.

README image Link to glama.ai

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
  • 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
  • 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

Organization ID Configuration

Choose one of the following based on your Yandex organization type:

  • Yandex Cloud Organization: Use TRACKER_CLOUD_ORG_ID env var later for Yandex Cloud-managed organizations
  • Yandex 360 Organization: Use TRACKER_ORG_ID env var later for Yandex 360 organizations

You can find your organization ID in the Yandex Tracker URL or organization settings.

MCP Client Configuration

Installing extension in Claude Desktop

Yandex Tracker MCP Server can be one-click installed in Claude Desktop as and extension.

Installation

  1. Download the *.mcpb file from GitHub Releases.
  2. Double-click the downloaded file to install it in Claude Desktop. img.png
  3. Provide your Yandex Tracker OAuth token when prompted. img.png
  4. Make sure extension is enabled - now you may use this MCP Server.

Manual installation

Prerequisites

  • uv installed globally
  • Valid Yandex Tracker API token with appropriate permissions

The following sections show how to configure the MCP server for different AI clients. You can use either uvx yandex-tracker-mcp@latest or the Docker image ghcr.io/aikts/yandex-tracker-mcp:latest. Both require these environment variables:

  • Authentication (one of the following):
    • TRACKER_TOKEN - Your Yandex Tracker OAuth token
    • TRACKER_IAM_TOKEN - Your IAM token
    • TRACKER_SA_KEY_ID, TRACKER_SA_SERVICE_ACCOUNT_ID, TRACKER_SA_PRIVATE_KEY - Service account credentials
  • TRACKER_CLOUD_ORG_ID or TRACKER_ORG_ID - Your Yandex Cloud (or Yandex 360) organization ID
Claude Desktop

Configuration file path:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json

Using uvx:

{
  "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"
      }
    }
  }
}

Using Docker:

{
  "mcpServers": {
    "yandex-tracker": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-e", "TRACKER_TOKEN",
        "-e", "TRACKER_CLOUD_ORG_ID",
        "-e", "TRACKER_ORG_ID",
        "ghcr.io/aikts/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"
      }
    }
  }
}
Claude Code

Using uvx:

claude mcp add yandex-tracker uvx yandex-tracker-mcp@latest \
  -e TRACKER_TOKEN=your_tracker_token_here \
  -e TRACKER_CLOUD_ORG_ID=your_cloud_org_id_here \
  -e TRACKER_ORG_ID=your_org_id_here \
  -e TRANSPORT=stdio

Using Docker:

claude mcp add yandex-tracker docker "run --rm -i -e TRACKER_TOKEN=your_tracker_token_here -e TRACKER_CLOUD_ORG_ID=your_cloud_org_id_here -e TRACKER_ORG_ID=your_org_id_here -e TRANSPORT=stdio ghcr.io/aikts/yandex-tracker-mcp:latest"
Cursor

Configuration file path:

  • Project-specific: .cursor/mcp.json in your project directory
  • Global: ~/.cursor/mcp.json

Using uvx:

{
  "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"
      }
    }
  }
}

Using Docker:

{
  "mcpServers": {
    "yandex-tracker": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-e", "TRACKER_TOKEN",
        "-e", "TRACKER_CLOUD_ORG_ID",
        "-e", "TRACKER_ORG_ID",
        "ghcr.io/aikts/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"
      }
    }
  }
}
Windsurf

Configuration file path:

  • ~/.codeium/windsurf/mcp_config.json

Access via: Windsurf Settings → Cascade tab → Model Context Protocol (MCP) Servers → "View raw config"

Using uvx:

{
  "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"
      }
    }
  }
}

Using Docker:

{
  "mcpServers": {
    "yandex-tracker": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-e", "TRACKER_TOKEN",
        "-e", "TRACKER_CLOUD_ORG_ID",
        "-e", "TRACKER_ORG_ID",
        "ghcr.io/aikts/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"
      }
    }
  }
}
Zed

Configuration file path:

  • ~/.config/zed/settings.json

Access via: Cmd+, (macOS) or Ctrl+, (Linux/Windows) or command palette: "zed: open settings"

Note: Requires Zed Preview version for MCP support.

Using uvx:

{
  "context_servers": {
    "yandex-tracker": {
      "source": "custom",
      "command": {
        "path": "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"
        }
      }
    }
  }
}

Using Docker:

{
  "context_servers": {
    "yandex-tracker": {
      "source": "custom",
      "command": {
        "path": "docker",
        "args": [
          "run", "--rm", "-i",
          "-e", "TRACKER_TOKEN",
          "-e", "TRACKER_CLOUD_ORG_ID",
          "-e", "TRACKER_ORG_ID",
          "ghcr.io/aikts/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"
        }
      }
    }
  }
}
GitHub Copilot (VS Code)

Configuration file path:

  • Workspace: .vscode/mcp.json in your project directory
  • Global: VS Code settings.json

Option 1: Workspace Configuration (Recommended for security)

Create .vscode/mcp.json:

Using uvx:

{
  "inputs": [
    {
      "type": "promptString",
      "id": "tracker-token",
      "description": "Yandex Tracker Token",
      "password": true
    },
    {
      "type": "promptString",
      "id": "cloud-org-id",
      "description": "Yandex Cloud Organization ID"
    },
    {
      "type": "promptString",
      "id": "org-id",
      "description": "Yandex Tracker Organization ID (optional)"
    }
  ],
  "servers": {
    "yandex-tracker": {
      "type": "stdio",
      "command": "uvx",
      "args": ["yandex-tracker-mcp@latest"],
      "env": {
        "TRA

---

*README truncated. [View full README on GitHub](https://github.com/aikts/yandex-tracker-mcp).*

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