The Yandex Tracker MCP server acts as a bridge between AI assistants and the Yandex Tracker project management platform. In simple terms, it allows tools like Claude, Cursor, or Zed to directly interact with tasks, project queues, and team comments without the user needing to manually copy and paste information. By giving an AI the ability to "see" and "organize" issues, teams can automate routine project management chores and get instant summaries of project progress through natural conversation. Beyond basic task reading, this tool enables comprehensive issue lifecycle management. It provides the AI with deep access to detailed worklogs, attachments, and related issue links, as well as the ability to list and filter through organizational queues. Whether an engineer needs to find a specific bug report or a manager wants a summary of recent activity, the server handles the heavy lifting of API communication, allowing the AI to synthesize data into actionable insights or draft detailed responses based on project history. For developers seeking sophisticated integration, the server supports the full Yandex Tracker Query Language, enabling complex filtering, sorting, and date-based functions. It is built for performance and security, offering optional Redis caching to speed up response times and supporting multiple authentication methods including OAuth 2.0, IAM tokens, and service account credentials. Compatible with both standard Yandex 360 and Yandex Cloud organizations, it can be deployed easily via Docker or the uv package manager, making it a flexible and robust addition to any modern AI-driven development environment.
Category: Developer Tools & Code Intelligence
Tags: docker, issue-tracking, oauth, task-management, yandex tracker
brew install python@3.12) * uv (installed globally) or Docker. * Yandex Tracker API Token with appropriate permissions. * Organization ID: Either TRACKER_CLOUD_ORG_ID (for Yandex Cloud) or TRACKER_ORG_ID (for Yandex 360).*.dxt file from the latest GitHub Releases. 2. Double-click the file to install it in Claude Desktop. 3. Provide your Yandex Tracker OAuth token when prompted.TRACKER_TOKEN: Yandex Tracker OAuth token. * TRACKER_IAM_TOKEN: IAM token. * TRACKER_SA_KEY_ID, TRACKER_SA_SERVICE_ACCOUNT_ID, TRACKER_SA_PRIVATE_KEY: Service account credentials. * Organization ID (choose one): * TRACKER_CLOUD_ORG_ID: For Yandex Cloud-managed organizations. * TRACKER_ORG_ID: For Yandex 360 organizations.~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows). json { "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" } } } }.cursor/mcp.json (Project) or ~/.cursor/mcp.json (Global). json { "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" } } } }~/.config/zed/settings.json json { "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" } } } } }Part of MCP Servers
It is an open source Model Context Protocol server that bridges AI clients with Yandex Tracker APIs. It provides tools for searching issues, updating statuses, managing worklogs, and reading project queues.
It works with any MCP-compliant client including Claude Desktop, Claude Code, Cursor, Windsurf, Zed, and GitHub Copilot in VS Code using stdio transport.
The server supports Yandex Tracker OAuth tokens, IAM tokens, and service account credentials with private keys, compatible with both Yandex Cloud and Yandex 360 organizations.
The server supports both read and write operations. It can create and edit issues, execute workflow status transitions, add comments, log work, and manage entity fields.
Yes, it is an open source project distributed on GitHub under the repository aikts/yandex-tracker-mcp.