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Linear MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 11 tools to Check Linear Status, Create Linear Comment, Create Linear Issue, and more

Built by Vinkius GDPR 11 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Linear through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Linear app connector for OpenAI Agents SDK is a standout in the Loved By Devs category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Linear Assistant",
            instructions=(
                "You help users interact with Linear. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Linear"
        )
        print(result.final_output)

asyncio.run(main())
Linear
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Linear MCP Server

Connect your Linear workspace to any AI agent and take full control of your agile software delivery and high-fidelity issue orchestration through natural conversation.

The OpenAI Agents SDK auto-discovers all 11 tools from Linear through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Linear, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Issue Portfolio Orchestration — List all active tickets, retrieve detailed high-fidelity metadata, and monitor delivery status programmatically
  • Agile Execution Intelligence — Programmatically generate and update high-fidelity issues for specific teams directly through your agent
  • Project & Cycle Monitoring — Access your complete directory of high-fidelity projects and active cycles to ensure perfectly coordinated development
  • Resource Architecture — List team members and collaborators to understand and orchestrate your organizational structure programmatically
  • Communication Stream Access — Programmatically add high-fidelity comments to specific issues to maintain perfect contextual alignment
  • Operational Monitoring — Verify account-level API connectivity and monitor issue orchestration volume directly through your agent for perfectly coordinated service scaling

The Linear MCP Server exposes 11 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Linear tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Linear through Vinkius, your AI agent gets direct access to every tool listed below — spanning issue-tracking, agile, sprint-planning, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_linear_status

Check API Status

create_linear_comment

Add a comment to an issue

create_linear_issue

Create a new issue

get_linear_issue

Get details for a specific issue

list_linear_cycles

List active cycles

list_linear_issues

List Linear issues

list_linear_labels

List issue labels

list_linear_projects

List active projects

list_linear_teams

List workspace teams

list_linear_users

List workspace members

update_linear_issue

Update an existing issue

Connect Linear to OpenAI Agents SDK via MCP

Follow these steps to wire Linear into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 11 tools from Linear

Why Use OpenAI Agents SDK with the Linear MCP Server

OpenAI Agents SDK provides unique advantages when paired with Linear through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Linear + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Linear MCP Server delivers measurable value.

01

Automated workflows: build agents that query Linear, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Linear, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Linear tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Linear to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Linear in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Linear immediately.

01

"List all active issues and show their status."

02

"Create a new issue for the 'Frontend' team titled 'Implement Dashboard'."

03

"Check the team members in the 'Mobile' team."

Troubleshooting Linear MCP Server with OpenAI Agents SDK

Common issues when connecting Linear to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Linear + OpenAI Agents SDK FAQ

Common questions about integrating Linear MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.