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  1. Home
  2. 🎧 Support & Service Management
  3. Yandex Tracker MCP
Yandex Tracker MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 12:15:53 PM

Yandex Tracker MCP

User RatingsBe the first to rate and review this MCP server!
View Repository115 GitHub StarsTotal stargazers on GitHub for the source repository (115 stars).Visit Website
yandextrackerissue-trackingoauthsupport

MCP server enabling AI agents to access and manage Yandex Tracker issues, queues, users, and workflows with OAuth support.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
We couldn’t automatically confirm this listing starts correctly

We ran the install command below but it didn't respond within our test window — this can mean a slow first-time install rather than a real problem.

uvx yandex-tracker-mcp@latest

No response to initialize.

This is an experimental automated check and can have false negatives — missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 1mo ago.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "aikts-yandex-tracker-mcp": {
      "command": "uvx",
      "args": [
        "yandex-tracker-mcp@latest"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (55) Directory Badge Claim listing Alternatives🎧 More in Support & Service Management

Overview

This MCP server provides authenticated access to Yandex Tracker APIs, allowing AI assistants to search, retrieve, create, and update issues, queues, users, and related metadata. It supports full issue lifecycle management, workflow transitions, and advanced query language features. Optional Redis caching improves performance, and multiple transport protocols are supported. Use this server to integrate Yandex Tracker issue tracking and project management into AI workflows.

Use cases

•Search and retrieve Yandex Tracker issues and queues
•Create and update issues with custom fields and attachments
•Manage issue status workflows and transitions
•Access user account and organizational data
•Execute complex queries using Yandex Tracker Query Language

Key features

•Full CRUD operations on issues with workflow support
•Queue and user management with detailed metadata
•Advanced filtering and sorting via Yandex Tracker Query Language
•OAuth 2.0 token authentication with automatic refresh
•Optional Redis caching for improved response times
•Supports stdio, HTTP, and deprecated SSE transports

Capabilities & Tool Schemas (55) ~989 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Yandex Tracker MCP.

queues_get_all

Every queue the token may see; returns `{values, hits, pages}

queue_get_tags

The tags defined in the queue

queue_get_versions

The queue's versions, with dates and status

queue_get_components

The queue's components as full objects, with lead, auto-assign flag and `version`; `queue_get_metadata` with `expand: ["components"]` gives ids and names only

queue_create_version

Create a version in the queue

queue_get_fields

The fields configured on the queue, local ones included; `schema.required` marks the mandatory ones

Documentation Overview

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.

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
  • Projects, Portfolios and Goals: Dedicated read and write tools with explicit schemas for each entity type in the Tracker "entities" API (opt-in via TRACKER_ENTITIES_ENABLED)
  • 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
  • Boards and Sprints: List agile boards and their sprints to find sprint IDs for issue planning
  • 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
  • Organization - exactly one of the following:
    • TRACKER_CLOUD_ORG_ID - Your Yandex Cloud organization ID
    • TRACKER_ORG_ID - Your Yandex 360 organization ID

Set one of the two. Setting both makes every Tracker call fail with Only one of org_id or cloud_org_id should be provided. The examples below use TRACKER_CLOUD_ORG_ID; on Yandex 360, replace that key with TRACKER_ORG_ID.

Claude Desktop

Configuration file path:

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

Using uvx:

config.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"
      }
    }
  }
}

Using Docker:

config.json
{
  "mcpServers": {
    "yandex-tracker": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-e", "TRACKER_TOKEN",
        "-e", "TRACKER_CLOUD_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"
      }
    }
  }
}
Claude Code

Using uvx:

Terminal
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 TRANSPORT=stdio

Using Docker:

Terminal
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 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:

config.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"
      }
    }
  }
}

Using Docker:

config.json
{
  "mcpServers": {
    "yandex-tracker": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-e", "TRACKER_TOKEN",
        "-e", "TRACKER_CLOUD_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"
      }
    }
  }
}
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:

config.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"
      }
    }
  }
}

Using Docker:

config.json
{
  "mcpServers": {
    "yandex-tracker": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-e", "TRACKER_TOKEN",
        "-e", "TRACKER_CLOUD_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"
      }
    }
  }
}
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:

config.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"
        }
      }
    }
  }
}

Using Docker:

config.json
{
  "context_servers": {
    "yandex-tracker": {
      "source": "custom",
      "command": {
        "path": "docker",
        "args": [
          "run", "--rm", "-i",
          "-e", "TRACKER_TOKEN",
          "-e", "TRACKER_CLOUD_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"
        }
      }
    }
  }
}
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:

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
115
Stargazers on the source repository.
Last commit
5d ago
Most recent push to the default branch.
Install check
Inconclusive
Didn't respond in our test window — often a slow first install.
Tools exposed
55
Callable tools this server registers over MCP.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Yandex Tracker MCP

Supports OAuth 2.0 tokens with automatic refresh, static API tokens, IAM tokens, and service account credentials.

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Technical Specs & Signals

Category🎧Support & Service Management
PricingFree
More technical detailsExpand ▾
TransportSTDIO
RuntimePython
AuthAPI key
LicenseMIT
ClientsClaude Desktop, Cursor
Last updatedSep 6, 2026
10/10 checks healthy over the last 33d
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars115
GitHub Star CountTotal stargazers on GitHub representing community popularity (115 stars).
Last commit5d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 6, 2026
60Quality signal: Good · 60/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools27/30
Adoption & activity8/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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Scanned 8d ago via OSV.dev · yandex-tracker-mcp@latest (PyPI)

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