Yandex Tracker MCP Server

A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with Yandex Tracker APIs. This server provides secure

Local serverstdio

What is the Yandex Tracker MCP Server?

A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with Yandex Tracker APIs. This server provides secure, authenticated

The short version

  • 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

What it needs from you

  • 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: -

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How to install the Yandex Tracker MCP Server

{
  "mcpServers": {
    "yandex-tracker": {
      "command": "uvx",
      "args": [
        "yandex-tracker-mcp@latest"
      ],
      "env": {
        "TRACKER_TOKEN": "YOUR_TRACKER_TOKEN",
        "TRACKER_CLOUD_ORG_ID": "your_cloud_org_id_here"
      }
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Configuration

  • 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: -
VariableDescriptionRequired
TRACKER_TOKENDeclared in the maintainer’s client configuration.Yes
TRACKER_CLOUD_ORG_IDDeclared in the maintainer’s client configuration.Check documentation

Example prompts to try

  • “Use Yandex Tracker MCP to Parameters.”
  • “Use Yandex Tracker MCP to Returns.”
  • “Use Yandex Tracker MCP to Installation.”

Frequently asked questions

A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with Yandex Tracker APIs. This server provides secure, authenticated Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.