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Vinkius

Linear MCP Server for Mastra AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Linear through 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": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Linear Agent",
    instructions:
      "You help users interact with Linear " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

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 issue tracking and sprint workflows through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Linear tool infrastructure. Connect 12 tools through 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

  • User & Team Discovery — Retrieve the authenticated user profile and list all teams configured in your Linear workspace
  • Issue Management — List, search, inspect and create issues with full metadata including assignees, labels, priority and state
  • Project Oversight — Browse all active projects, view their status and drill into specific project details by ID
  • Comments & Collaboration — Add comments to issues to keep your team context aligned without switching to the Linear app
  • Cycle Tracking — List all sprint cycles for any team, including start/end dates and completion progress
  • Label Organization — View all issue labels used for categorization across teams

The Linear MCP Server exposes 12 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 to Mastra AI via MCP

Follow these steps to integrate the Linear 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 12 tools from Linear via MCP

Why Use Mastra AI with the Linear MCP Server

Mastra AI provides unique advantages when paired with Linear through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Linear 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 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 + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Linear MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Linear, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Linear 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 on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Linear tools alongside other MCP servers

Linear MCP Tools for Mastra AI (12)

These 12 tools become available when you connect Linear to Mastra AI via MCP:

01

create_comment

The body supports Linear Markdown format including @mentions and ~~strikethrough~~. Add a comment to a Linear issue

02

create_issue

Requires the team ID and issue title. Optionally set description, assignee, priority (0=No priority, 1=Urgent, 2=High, 3=Normal, 4=Low) and label IDs. Create a new Linear issue

03

get_issue

Use the issue ID (UUID) or the human-readable identifier (e.g. TEAM-123). Get full details for a Linear issue

04

get_project

Get details for a specific Linear project

05

get_viewer

Useful to verify which account the API token belongs to. Get current authenticated Linear user details

06

list_cycles

Each cycle has a number, name, start date, end date and completion progress percentage. List Linear cycles (sprints) for a team

07

list_issues

Optionally filter by team ID to get issues for a specific team only. List Linear issues

08

list_labels

Optionally filter by team ID. Each label has a name, color and optional description. List Linear issue labels

09

list_projects

Projects group issues across multiple teams. Use optional limit to control how many results to fetch. List Linear projects

10

list_teams

Each team has a unique ID, name, key prefix and optional description. Use this to discover teams before querying their issues or cycles. List all Linear teams

11

search_issues

Optionally filter results to a specific team. Returns issues with identifier, title, state, priority, assignee and URL. Search Linear issues by text

12

update_issue

Provide the issue ID (UUID) and only the fields you want to change. Update an existing Linear issue

Example Prompts for Linear in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Linear immediately.

01

"Show me all unresolved issues assigned to the Engineering team."

02

"Create a new issue in the Backend team titled 'Add rate limiting to /api/search endpoint' with high priority."

03

"What's the current sprint cycle progress for the Mobile team?"

Troubleshooting Linear MCP Server with Mastra AI

Common issues when connecting Linear to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Linear + Mastra AI FAQ

Common questions about integrating Linear 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 to Mastra AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.