Yandex Tracker MCP Server with OAuth2 support
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
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💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Yandex Tracker MCP.
queues_get_allCallable MCP tool function
fieldsCallable MCP tool function
pageCallable MCP tool function
per_pageCallable MCP tool function
TRACKER_LIMIT_QUEUESCallable MCP tool function
queue_get_tagsCallable MCP tool function
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.
Documentation in Russian is available here / Документация на русском языке доступна здесь.
Choose one of the following based on your Yandex organization type:
TRACKER_CLOUD_ORG_ID env var later for Yandex Cloud-managed organizationsTRACKER_ORG_ID env var later for Yandex 360 organizationsYou can find your organization ID in the Yandex Tracker URL or organization settings.
Yandex Tracker MCP Server can be one-click installed in Claude Desktop as and extension.
*.mcpb file from GitHub Releases.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:
TRACKER_TOKEN - Your Yandex Tracker OAuth tokenTRACKER_IAM_TOKEN - Your IAM tokenTRACKER_SA_KEY_ID, TRACKER_SA_SERVICE_ACCOUNT_ID, TRACKER_SA_PRIVATE_KEY - Service account credentialsTRACKER_CLOUD_ORG_ID or TRACKER_ORG_ID - Your Yandex Cloud (or Yandex 360) organization IDConfiguration file path:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonUsing uvx:
Using Docker:
Using uvx:
Using Docker:
Configuration file path:
.cursor/mcp.json in your project directory~/.cursor/mcp.jsonUsing uvx:
Using Docker:
Configuration file path:
~/.codeium/windsurf/mcp_config.jsonAccess via: Windsurf Settings → Cascade tab → Model Context Protocol (MCP) Servers → "View raw config"
Using uvx:
Using Docker:
Configuration file path:
~/.config/zed/settings.jsonAccess via: Cmd+, (macOS) or Ctrl+, (Linux/Windows) or command palette: "zed: open settings"
Note: Requires Zed Preview version for MCP support.
Using uvx:
Using Docker:
Configuration file path:
.vscode/mcp.json in your project directorysettings.jsonOption 1: Workspace Configuration (Recommended for security)
Create .vscode/mcp.json:
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