How to Use the Linear MCP in Vercel AI SDK

Q: Can the Vercel AI SDK handle Linear issue updates?

Yes, it handles them perfectly. You use updatelinearissue within your stream handlers to modify tasks based on user input or agent reasoning.

Stream Linear data straight into your UI with the Vercel AI SDK. Build interfaces where issue updates appear in real-time.

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…and any MCP-compatible client

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Connect Linear MCP to Vercel AI SDK

Create your Vinkius account to connect Linear 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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Setup Linear with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Live issue tracking for Vercel AI SDK

Hook your frontend into this MCP Server to pull live task data without the lag of traditional fetch requests. Your AI client renders `list_linear_issues` results instantly as the stream arrives. Stop waiting for spinners. By using the Vercel AI SDK to pipe tool outputs directly to your components, you provide users with immediate visibility into their project status.

Keyboard-driven issue creation

Trigger `create_linear_issue` directly from your chat interface to log bugs the moment they surface. This keeps your workflow tight and focused on shipping. Your application handles the state updates while the server writes the record to your workspace. It removes the friction of switching tabs just to add a ticket.

Real-time project status checks

Use `check_linear_status` to verify your connection before the AI agent attempts to run heavy operations. This prevents runtime errors in your production builds. Reliability matters when you're streaming data. Knowing the server is responsive ensures your users get clean, predictable behavior every time they interact with the toolset.

Setup guide

Set up Linear 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

Install dependencies

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

Discover and use tools

Call mcpClient.tools() to auto-discover all Linear tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
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 transactions",
});

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

Get your connection token →

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.

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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 MCP in Vercel AI SDK

You connect by installing the MCP package and initializing the client with your endpoint. Pass the tools from the server into your `generateText` function to start executing operations.

Yes, it handles them perfectly. You use `update_linear_issue` within your stream handlers to modify tasks based on user input or agent reasoning.

It runs on any edge-compatible environment. As long as your Vercel AI SDK project can reach the server URL, you are ready to go.

You provide an API key to the server configuration. The SDK manages the communication layer while your environment variables keep the secrets secure.

Your data stays strictly between the client and your workspace. The server acts as a pass-through and does not store any issue content or metadata on our side.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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