aikts/yandex-tracker-mcp

部署与 DevOps 官方

本页由 AI 翻译，技术细节请以原文为准。查看原文

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Repository Install

aikts/yandex-tracker-mcp 是从 https://github.com/aikts/yandex-tracker-mcp. 导入的 MCP 服务器候选。

概览

aikts/yandex-tracker-mcp 是从 https://github.com/aikts/yandex-tracker-mcp. 导入的 MCP 服务器候选。

概述（AI 翻译）

MCP-name： io.github.aikts/yandex-tracker-mcp

一个全面的模型上下文协议（MCP）服务器，使AI助手能够与Yandex Tracker API交互。该服务器提供安全、认证访问Yandex Tracker的问题、队列、评论、工作日志和搜索功能，并可选支持Redis缓存以提升性能。

俄语文档可在此获取 / Документация на русском языке доступна здесь。

特色

完整队列管理：列出并访问所有可用的Yandex追踪队列，支持分页、标签检索及详细元数据
项目、投资组合和目标：专门的读写工具，针对 Tracker“entities” API 中每种实体类型（通过 TRACKER_ENTITIES_ENABLED 选择加入）
用户管理：获取用户账户信息，包括登录信息、电子邮件地址、许可状态和组织数据
完整问题生命周期：创建、阅读、更新和管理问题，支持自定义字段、附件和工作流程切换
状态工作流程管理：执行状态转移，通过解决方案解决问题，并导航复杂工作流程

本页由 AI 翻译，技术细节请以原文为准。

README

以下为原文 README 节选，完整内容请查看原文。

Yandex Tracker MCP Server

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.

在 GitHub 查看完整 README

安装

uvx yandex-tracker-mcp@latest

新手？先看 mcpskill.org 教程 →

配置

{
  "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"
      }
    }
  }
}