Allows GitHub Copilot to connect to Yandex Tracker via VS Code integration, with support for both workspace and global configurations.
Optional integration with Redis for performance caching, improving response times when retrieving Yandex Tracker data.
Provides comprehensive access to Yandex Tracker APIs, enabling management of issues, queues, comments, worklogs, and search functionality. Supports both Yandex Cloud and Yandex 360 organizations with features for queue management, user information retrieval, issue operations, field management, and advanced query language capabilities.
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 access to Yandex Tracker issues, queues, comments, worklogs, and search functionality with optional Redis caching for improved performance.
Features
- Complete Queue Management: List and access all available Yandex Tracker queues with pagination support and tag retrieval
- User Management: Retrieve user account information, including login details, email addresses, license status, and organizational data
- Issue Operations: Retrieve detailed issue information, comments, related links, worklogs, and attachments
- Field Management: Access global fields, queue-specific local fields, statuses, and issue types
- 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 and SSE transports
- Organization Support: Compatible with both standard and cloud organization IDs
Prerequisites
- Python 3.12 or higher
- Valid Yandex Tracker API token with appropriate permissions
- Optional: Redis server for caching functionality
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
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 token (required)TRACKER_CLOUD_ORG_ID
- Your Yandex Cloud organization IDTRACKER_ORG_ID
- Your Yandex 360 organization ID
Configuration file path:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
%APPDATA%\Claude\claude_desktop_config.json
Using uvx:
Using Docker:
Using uvx:
Using Docker:
Configuration file path:
- Project-specific:
.cursor/mcp.json
in your project directory - Global:
~/.cursor/mcp.json
Using uvx:
Using Docker:
Configuration file path:
~/.codeium/windsurf/mcp_config.json
Access via: Windsurf Settings → Cascade tab → Model Context Protocol (MCP) Servers → "View raw config"
Using uvx:
Using Docker:
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:
Using Docker:
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
:
Using uvx:
Using Docker:
Option 2: Global Configuration
Add to VS Code settings.json
:
Using uvx:
Using Docker:
For other MCP-compatible clients, use the standard MCP server configuration format:
Using uvx:
Using Docker:
Important Notes:
- Replace placeholder values with your actual credentials
- Restart your AI client after configuration changes
- Ensure
uvx
is installed and available in your system PATH - For production use, consider using environment variables instead of hardcoding tokens
Available MCP Tools
The server exposes the following tools through the MCP protocol:
Queue Management
queues_get_all
: List all available Yandex Tracker queues- Returns paginated queue information
- Respects
TRACKER_LIMIT_QUEUES
restrictions
queue_get_local_fields
: Get local fields for a specific queue- Parameters:
queue_id
(string, queue key like "SOMEPROJECT") - Returns queue-specific custom fields with id, name, and key
- Respects
TRACKER_LIMIT_QUEUES
restrictions
- Parameters:
queue_get_tags
: Get all tags for a specific queue- Parameters:
queue_id
(string, queue key like "SOMEPROJECT") - Returns list of available tags in the specified queue
- Respects
TRACKER_LIMIT_QUEUES
restrictions
- Parameters:
queue_get_versions
: Get all versions for a specific queue- Parameters:
queue_id
(string, queue key like "SOMEPROJECT") - Returns list of available versions in the specified queue with details like name, description, dates, and status
- Respects
TRACKER_LIMIT_QUEUES
restrictions
- Parameters:
User Management
users_get_all
: Get information about user accounts registered in the organization- Parameters:
per_page
(optional): Number of users per page (default: 50)page
(optional): Page number to return (default: 1)
- Returns paginated list of users with login, email, license status, and organizational details
- Includes user metadata such as external status, dismissal status, and notification preferences
- Parameters:
user_get
: Get information about a specific user by login or UID- Parameters:
user_id
(string, user login like "john.doe" or UID like "12345") - Returns detailed user information including login, email, license status, and organizational details
- Supports both user login names and numeric user IDs for flexible identification
- Parameters:
Field Management
get_global_fields
: Get all global fields available in Yandex Tracker- Returns complete list of global fields that can be used in issues
- Includes field schema, type information, and configuration
Status and Type Management
get_statuses
: Get all available issue statuses- Returns complete list of issue statuses that can be assigned
- Includes status IDs, names, and type information
get_issue_types
: Get all available issue types- Returns complete list of issue types for creating/updating issues
- Includes type IDs, names, and configuration details
Issue Operations
issue_get
: Retrieve detailed issue information by ID- Parameters:
issue_id
(string, format: "QUEUE-123") - Returns complete issue data including status, assignee, description, etc.
- Parameters:
issue_get_url
: Generate web URL for an issue- Parameters:
issue_id
(string) - Returns:
https://tracker.yandex.ru/{issue_id}
- Parameters:
issue_get_comments
: Fetch all comments for an issue- Parameters:
issue_id
(string) - Returns chronological list of comments with metadata
- Parameters:
issue_get_links
: Get related issue links- Parameters:
issue_id
(string) - Returns links to related, blocked, or duplicate issues
- Parameters:
issue_get_worklogs
: Retrieve worklog entries- Parameters:
issue_ids
(array of strings) - Returns time tracking data for specified issues
- Parameters:
issue_get_attachments
: Get attachments for an issue- Parameters:
issue_id
(string, format: "QUEUE-123") - Returns list of attachments with metadata for the specified issue
- Parameters:
Search and Discovery
issues_find
: Search issues using Yandex Tracker Query Language- Parameters:
query
(required): Query string using Yandex Tracker Query Language syntaxpage
(optional): Page number for pagination (default: 1)
- Returns up to 500 issues per page
- Parameters:
issues_count
: Count issues matching a query using Yandex Tracker Query Language- Parameters:
query
(required): Query string using Yandex Tracker Query Language syntax
- Returns the total count of issues matching the specified criteria
- Supports all query language features: field filtering, date functions, logical operators, and complex expressions
- Useful for analytics, reporting, and understanding issue distribution without retrieving full issue data
- Parameters:
Configuration
Environment Variables
Docker Deployment
Using Pre-built Image (Recommended)
Building the Image Locally
Docker Compose
Using pre-built image:
Building locally:
Running in streamable-http Mode
The MCP server can also be run in streamable-http mode for web-based integrations or when stdio transport is not suitable.
streamable-http Mode Environment Variables
Starting the streamable-http Server
Development Setup
License
This project is licensed under the terms specified in the LICENSE file.
Support
For issues and questions:
- Review Yandex Tracker API documentation
- Submit issues at https://github.com/aikts/yandex-tracker-mcp/issues
Tools
This MCP enables access to Yandex Tracker issue management. Currently it supports all read operations to retrieve queues, issues and users from Yandex Tracker.
- Features
- Prerequisites
- MCP Client Configuration
- Available MCP Tools
- Configuration
- Docker Deployment
- Running in streamable-http Mode
- License
- Support
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