How to Use the Linear MCP in Mastra AI

Q: How do I register the Linear MCP Server inside a Mastra AI agent?

You initialize the MCPClient with the Vinkius endpoint, call mcpClient.listTools(), and spread those tools directly into your agent's tool configuration array. This gives your agent immediate access to operations like listteams and searchissues.

Q: How do I find the correct team ID to create a ticket?

You run listteams first to fetch a list of all available teams and their unique IDs. Your agent can then cache these IDs or search them dynamically before calling tools that require a team target.

Connect the Linear MCP Server to Mastra AI to build resilient, self-healing engineering workflows that update issues and cycles automatically.

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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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Automating Ticket Escalation with Mastra AI Workflows

`create_issue` allows your Mastra AI workflows to generate engineering tickets automatically when external system alerts fire. The tool requires a team ID and title, letting your workflow engine populate assignees and priority levels based on the severity of the alert. If the API call fails due to a network hiccup, Mastra's built-in retry engine backs off and tries again. This ensures your critical bugs get filed in the tracker without manual developer intervention.

Build Human-in-the-Loop Linear Approvals

`update_issue` modifies existing ticket states, assignees, or priorities inside your Mastra AI agentic workflows. By using the framework's tool approval feature, you can require a developer's sign-off before your agent changes a ticket status. This setup prevents rogue updates to your backlog while still automating repetitive status updates. Your agent uses `get_issue` to pull the current state, presents it to a developer, and triggers the update only after receiving manual confirmation.

Sync Project Progress via Mastra AI Workflows

`list_projects` fetches active projects across your engineering teams, allowing your Mastra AI workflow to audit team deliverables. Your agent processes these projects to identify off-track milestones and post updates directly to your team. To keep stakeholders informed, the workflow uses `create_comment` to write markdown-formatted status reports on relevant tickets. Running this through the Vinkius MCP Server ensures your background workers have instant, authenticated access to your workspace.

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-mcp-client",
  servers: {
    "linear-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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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Linear. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Linear MCP in Mastra AI

You initialize the `MCPClient` with the Vinkius endpoint, call `mcpClient.listTools()`, and spread those tools directly into your agent's tool configuration array. This gives your agent immediate access to operations like `list_teams` and `search_issues`.

Yes, Mastra AI features built-in exponential backoff and retry mechanisms. If your workflow triggers multiple `update_issue` or `create_comment` calls that hit rate limits, the framework pauses and retries the operations safely.

Yes, you can pass user-specific tokens dynamically. This ensures that when your Mastra AI agent runs `create_issue`, the action is attributed to the correct developer rather than a generic system account.

You run `list_teams` first to fetch a list of all available teams and their unique IDs. Your agent can then cache these IDs or search them dynamically before calling tools that require a team target.

Your issue details, project names, and developer comments stay within your Mastra AI execution environment. The Vinkius MCP gateway acts as an ephemeral proxy, passing payloads securely without logging the contents of your tickets.

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