How to Use the Linear MCP in Mastra AI

Q: Can I use Linear tools in Mastra AI agent chains?

Definitely. You can pass the output of getlinearissue directly into the next agent in your chain to perform deep analysis.

Q: How do I approve Linear actions in Mastra AI?

Use the requireToolApproval setting in your config. This forces the agent to pause until you sign off on the proposed change.

Build complex Linear workflows in Mastra AI. Automate your entire issue lifecycle with conditional logic and built-in retries.

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Connect Linear MCP to Mastra AI

Create your Vinkius account to connect Linear to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Linear with Mastra AI

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Perplexity

Automated issue flows with Mastra AI

Create multi-step agents that use `list_linear_cycles` to determine if a task is ready for the current sprint. If the cycle is closed, the agent can automatically reassign the ticket. This framework handles the logic flow so you don't have to manually track states. It turns your linear operations into a robust, repeatable pipeline.

Conditional issue management

Program your agents to use `update_linear_issue` based on specific project triggers. If a priority label changes, the agent can escalate the task automatically. By chaining tools like `list_linear_labels` with update functions, you maintain a clean backlog without constant human oversight.

Reliable task execution

Mastra AI includes automatic retries for every tool call. If `create_linear_comment` fails due to a network blip, the agent handles the retry logic for you. This ensures your operations finish successfully even when external services hit temporary load spikes. It is built for production-grade agentic tasks.

Setup guide

Set up Linear MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Linear tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "linear-alternative-mcp-client",
  servers: {
    "linear-alternative-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Linear Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Linear tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Linear transactions"
);
console.log(result.text);

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Common questions about Linear MCP in Mastra AI

You define the server in your agent configuration. Once connected, Mastra AI automatically exposes the tools for use in your agent steps.

Definitely. You can pass the output of `get_linear_issue` directly into the next agent in your chain to perform deep analysis.

The framework catches the failure and applies your defined retry strategy. It ensures the task eventually completes or alerts you if the issue persists.

Use the `requireToolApproval` setting in your config. This forces the agent to pause until you sign off on the proposed change.

We enforce strict transport isolation. Only your authorized agents can trigger `list_linear_users` or any other tool, ensuring your team data never leaks.

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