Linear MCP Integration Server

@skspade

代码仓库

基本信息

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版本控制

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skspade

关于 Linear MCP Integration Server

A repository for MCP server to connect to Linear

Linear MCP Integration Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-linear-server": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "linear-mcp-server",
        "."
      ]
    }
  }
}

Linear MCP Integration Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Linear MCP Integration Server?

This server connects AI models to Linear for issue tracking and project management through the Model Context Protocol (MCP). It provides tools to create, search, and update issues, manage sprints, and handle cycles.

How to use Linear MCP Integration Server?

Obtain a Linear API key from Linear settings, create a .env file with LINEAR_API_KEY, install dependencies (npm install), and start the server (npm start or npm run dev). Tools are accessed via MCP and include issue creation, search, sprint issue retrieval, team search, status updates, and cycle management.

Key features of Linear MCP Integration Server

Creates, searches, and retrieves Linear issues with filtering and pagination
Manages sprint issues and bulk updates statuses
Creates and updates cycles (sprints) with start/end dates
In-memory caching with configurable TTL and automatic cleanup
Automatic reconnection and heartbeat monitoring for connection health
Batch processing and pagination for large result sets

Use cases of Linear MCP Integration Server

An AI assistant creating and assigning issues based on user prompts
A developer querying current sprint issues during standups
A project manager bulk-updating issue statuses after a release
A team automating cycle creation and tracking from external events
An analyst searching across teams and priorities to generate reports

常见问题

What prerequisites are needed to run this server?

You need a Linear API key from your Linear account settings and a `.env` file containing `LINEAR_API_KEY`.

Does the server support pagination for large result sets?

Yes, all search tools support cursor-based pagination with configurable limits and sort options.

Can this server be deployed on Smithery.ai?

Yes, it includes a Dockerfile and `smithery.yaml` configuration for deployment on Smithery with your Linear API key.

What happens if the connection to the Linear API is lost?

The server automatically reconnects with configurable retry attempts and uses heartbeat monitoring to maintain connection health.

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