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Linear (Issue Tracking & PM) MCP Server for Mastra AI 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Linear (Issue Tracking & PM) through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

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

async function main() {
  // Your Vinkius token — get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "linear-issue-tracking-pm": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Linear (Issue Tracking & PM) Agent",
    instructions:
      "You help users interact with Linear (Issue Tracking & PM) " +
      "using 8 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Linear (Issue Tracking & PM)?"
  );
  console.log(result.text);
}

main();
Linear (Issue Tracking & PM)
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 (Issue Tracking & PM) MCP Server

Connect your Linear workspace to any AI agent and take full control of your issue tracking and product development lifecycle through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Linear (Issue Tracking & PM) tool infrastructure. Connect 8 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.

What you can do

  • Issue Orchestration — List and retrieve recent issues from your workspace, including their exact workflow states and assignee tracking directly from your agent
  • Deep Context Inspection — Pinpoint specific issues to extract full descriptions, assigned labels, and internal priority levels for rapid status updates
  • Project Monitoring — List all active mapped projects and track their organizational scopes, active state flags, and timeline limits securely
  • Sprint & Cycle Audit — Monitor current tracking sprint cycle bounds and temporal limits to understand team progress across active iteration loops
  • Team Management — Enumerate all logical team boundaries and workspace members to route operational assignments and project scopes efficiently
  • Workflow Taxonomy — Discover global metadata tags and labels used to categorize issues, ensuring your AI agent understands your internal organization rules

The Linear (Issue Tracking & PM) MCP Server exposes 8 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Linear (Issue Tracking & PM) to Mastra AI via MCP

Follow these steps to integrate the Linear (Issue Tracking & PM) MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 8 tools from Linear (Issue Tracking & PM) via MCP

Why Use Mastra AI with the Linear (Issue Tracking & PM) MCP Server

Mastra AI provides unique advantages when paired with Linear (Issue Tracking & PM) through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Linear (Issue Tracking & PM) without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Linear (Issue Tracking & PM) tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

Linear (Issue Tracking & PM) + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Linear (Issue Tracking & PM) MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Linear (Issue Tracking & PM), process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Linear (Issue Tracking & PM) as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Linear (Issue Tracking & PM) on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Linear (Issue Tracking & PM) tools alongside other MCP servers

Linear (Issue Tracking & PM) MCP Tools for Mastra AI (8)

These 8 tools become available when you connect Linear (Issue Tracking & PM) to Mastra AI via MCP:

01

get_issue

Get deep context for a specific identified Linear issue tracking limit

02

get_viewer

Get active authenticated mapping validating explicit global User boundaries

03

list_cycles

List current tracking sprint cycle bounds mapping start/end limits

04

list_issues

List recent issues mapped on Linear workspace

05

list_labels

List global string metadata tags bounding issue categorization logic

06

list_projects

List all explicit active mapped projects available in the workspace

07

list_teams

List all logical team segment boundaries mapping workspace access

08

list_users

List all explicitly mapped workspace members validating active access limits

Example Prompts for Linear (Issue Tracking & PM) in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Linear (Issue Tracking & PM) immediately.

01

"List all active issues assigned to me in the 'Engineering' team"

02

"Show me the details for issue 'ENG-101'"

03

"What is the end date for the current sprint cycle?"

Troubleshooting Linear (Issue Tracking & PM) MCP Server with Mastra AI

Common issues when connecting Linear (Issue Tracking & PM) to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Linear (Issue Tracking & PM) + Mastra AI FAQ

Common questions about integrating Linear (Issue Tracking & PM) MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Linear (Issue Tracking & PM) to Mastra AI

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.