How to Install Linear MCP in OpenAI Agents SDK

Official Linear integration — create issues, manage sprints, and update project status via AI

What Linear MCP does

The official Linear MCP server connects your AI agent to your issue tracker. For engineering teams that live in Linear, this eliminates the context switch you make dozens of times a day. Features: - Create issues with full details (title, description, assignee, labels, priority) - Search and filter issues by project, assignee, status, or label - Update issue status and move through workflow states - Manage project milestones and cycles (sprints) - Add comments and link related issues - Query team workload and capacity - Access roadmap and project hierarchy - Get cycle completion metrics Use cases: - "Create a bug report for the login timeout issue with high priority, assign to me" - "What issues are in the current sprint that are blocked?" - "Move issue ENG-431 to In Review and add a comment with the PR link" - "What did the team ship last week?" Linear MCP supports OAuth for secure, per-user authentication.

linear

issues

project-management

sprints

engineering

Installation steps

1Install: pip install openai-agents
2Copy the snippet below into your agent code
3Replace placeholder env values with your real keys
4Pass mcp_servers=[mcp_server] to your Agent()

Python snippet

Python snippetpython

from agents import Agent
from agents.mcp import MCPServerStdio

mcp_server = MCPServerStdio(
    command="npx",
    args=["-y", "@linear/mcp"],
    env={
        "LINEAR_API_KEY": "lin_api_...",
    },
)

agent = Agent(
    name="My Agent",
    model="gpt-4o",
    mcp_servers=[mcp_server],
)

Full server details Open Config Editor

Install in other clients

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For maintainers

If you maintain Linear MCP, add this badge to your README to show it's verified on CuratedMCP:

[![CuratedMCP Verified](https://curatedmcp.com/api/badge/linear-mcp)](https://curatedmcp.com/marketplace/linear-mcp)

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