Yandex Tracker MCP
Yandex Tracker MCP Server with OAuth2 support
What is Yandex Tracker MCP?
Yandex Tracker MCP is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to yandex tracker mcp server with oauth2 support
Yandex Tracker MCP Server with OAuth2 support
This server falls under the Business Applications category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Yandex Tracker MCP Server with OAuth2 support
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx yandex-trackerConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Yandex Tracker MCP
The Yandex Tracker MCP Server connects AI assistants to Yandex Tracker, the project management and issue tracking platform used across Yandex Cloud organizations. It exposes a comprehensive set of tools for managing queues, issues, comments, work logs, and user accounts through natural language. Teams use it to automate sprint planning, query issue status, create and transition tickets, and track time — all without leaving their AI chat interface. It supports OAuth2, IAM tokens, and service account authentication, making it suitable for both personal and enterprise deployments.
Prerequisites
- Python 3.9+ and uv package manager installed (pip install uv or see docs.astral.sh/uv)
- A Yandex Tracker account with API access enabled
- TRACKER_TOKEN (OAuth token) or TRACKER_IAM_TOKEN for authentication
- TRACKER_CLOUD_ORG_ID (Yandex Cloud) or TRACKER_ORG_ID (Yandex 360) for your organization
- An MCP-compatible client such as Claude Desktop or Cursor
Obtain a Yandex Tracker OAuth token
Go to Yandex OAuth and create an application with Tracker API permissions. Copy the OAuth token — you will use it as TRACKER_TOKEN in the server configuration.
Find your organization ID
In Yandex Cloud Console, navigate to your organization settings to find the organization ID. For Yandex 360, find it in the admin panel. You need either TRACKER_CLOUD_ORG_ID or TRACKER_ORG_ID.
Install uv and run the server
Install the uv package manager if not already present, then run the Yandex Tracker MCP server via uvx without a separate install step.
pip install uv
uvx yandex-tracker-mcp@latestConfigure Claude Desktop
Add the server to your Claude Desktop configuration file with your credentials as environment variables.
{
"mcpServers": {
"yandex-tracker": {
"command": "uvx",
"args": ["yandex-tracker-mcp@latest"],
"env": {
"TRACKER_TOKEN": "your_oauth_token",
"TRACKER_CLOUD_ORG_ID": "your_org_id"
}
}
}
}Restart your MCP client
Fully quit and relaunch Claude Desktop. The Yandex Tracker tools will be available after restart.
Test by listing queues
Ask Claude to list all available Yandex Tracker queues. This verifies your token and organization ID are correct.
Yandex Tracker MCP Examples
Client configuration
Claude Desktop configuration using uvx with OAuth token authentication.
{
"mcpServers": {
"yandex-tracker": {
"command": "uvx",
"args": ["yandex-tracker-mcp@latest"],
"env": {
"TRACKER_TOKEN": "your_oauth_token",
"TRACKER_CLOUD_ORG_ID": "your_cloud_org_id"
}
}
}
}Prompts to try
Once connected, use natural language to interact with Yandex Tracker issues and queues.
- "List all queues available in my Yandex Tracker organization"
- "Create a new bug issue in the BACKEND queue with high priority"
- "Show me all open issues assigned to me in the FRONTEND queue"
- "Add a comment to issue BACKEND-123 saying the fix is deployed"
- "Log 2 hours of work on issue PROJ-456 with description 'code review'"Troubleshooting Yandex Tracker MCP
Authentication fails with 401 Unauthorized
Verify your TRACKER_TOKEN is a valid OAuth token, not an API key. Ensure the token has not expired and was granted Tracker API permissions. You can test it directly: curl -H 'Authorization: OAuth your_token' https://api.tracker.yandex.net/v2/myself
Server starts but returns 'organization not found' errors
Check that TRACKER_CLOUD_ORG_ID matches your Yandex Cloud organization ID exactly. If using Yandex 360, use TRACKER_ORG_ID instead. The two variables serve different organization types.
uvx command not found after installing uv
After installing uv, restart your terminal or run 'source ~/.bashrc' (or ~/.zshrc). The uvx binary is installed alongside uv at ~/.local/bin/uvx — ensure this directory is in your PATH.
Frequently Asked Questions about Yandex Tracker MCP
What is Yandex Tracker MCP?
Yandex Tracker MCP is a Model Context Protocol (MCP) server that yandex tracker mcp server with oauth2 support It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Yandex Tracker MCP?
Follow the installation instructions on the Yandex Tracker MCP GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Yandex Tracker MCP?
Yandex Tracker MCP works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Yandex Tracker MCP free to use?
Yes, Yandex Tracker MCP is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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