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How to Use the Linear (Issue Tracking & PM) MCP in Vercel AI SDK

Stream real-time Linear (Issue Tracking & PM) data directly into your Vercel AI SDK interface without waiting for loading spinners.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Linear (Issue Tracking & PM) MCP to Vercel AI SDK

Create your Vinkius account to connect Linear (Issue Tracking & PM) to Vercel AI SDK 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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Real-time issue and cycle visibility

Feed your UI live state from your workspace. Use `list_issues` to populate your dashboard components the moment a user asks a question. Monitor sprint progress by piping `list_cycles` output into your charts. The data arrives as a stream, letting you render status updates while the request is still active.

Context-aware Linear (Issue Tracking & PM) integration

Connect your agent to specific work items using `get_issue`. This gives your application deep context on technical debt or feature requirements immediately. Keep track of who is working on what by calling `get_viewer` and `list_users`. Your interface will always reflect the current authenticated user's permissions.

Project and team organization mapping

Structure your app's navigation based on your actual workspace setup. Use `list_projects` and `list_teams` to filter content for your end users. Categorize incoming requests using `list_labels`. This lets your AI client filter issue data by metadata tags, ensuring the user only sees relevant development tasks.

Setup guide

Set up Linear (Issue Tracking & PM) MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Linear (Issue Tracking & PM) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Linear (Issue Tracking & PM) transactions",
});

console.log(text);
await mcpClient.close();

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Linear (Issue Tracking & PM) MCP in Vercel AI SDK

Yes. This MCP server connects directly to your workspace. You just point your client to the endpoint and start calling tools.
You use the provided SDK tools to register the server. Once connected, your agent can call functions like `list_issues` to pull data into your frontend.
It does. The tools are designed to work with streaming responses, so your UI updates as the agent retrieves information.
Your data stays private between your client and the workspace. We don't store your credentials or issue history on our end.
It accesses your issue metadata, project structures, and user lists. None of your source code or repository contents are touched.

Start using the Linear (Issue Tracking & PM) MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 8 tools

We've already built the connector for Linear (Issue Tracking & PM). Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 8 tools are live and waiting. You're up and running in seconds.

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