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Linear MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Check Linear Status, Create Linear Comment, Create Linear Issue, and more

Built by Vinkius GDPR 11 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Linear through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Linear app connector for Vercel AI SDK is a standout in the Loved By Devs category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Linear, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

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 agile software delivery and high-fidelity issue orchestration through natural conversation.

The Vercel AI SDK gives every Linear tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Issue Portfolio Orchestration — List all active tickets, retrieve detailed high-fidelity metadata, and monitor delivery status programmatically
  • Agile Execution Intelligence — Programmatically generate and update high-fidelity issues for specific teams directly through your agent
  • Project & Cycle Monitoring — Access your complete directory of high-fidelity projects and active cycles to ensure perfectly coordinated development
  • Resource Architecture — List team members and collaborators to understand and orchestrate your organizational structure programmatically
  • Communication Stream Access — Programmatically add high-fidelity comments to specific issues to maintain perfect contextual alignment
  • Operational Monitoring — Verify account-level API connectivity and monitor issue orchestration volume directly through your agent for perfectly coordinated service scaling

The Linear MCP Server exposes 11 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Linear tools available for Vercel AI SDK

When Vercel AI SDK connects to Linear through Vinkius, your AI agent gets direct access to every tool listed below — spanning issue-tracking, agile, sprint-planning, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_linear_status

Check API Status

create_linear_comment

Add a comment to an issue

create_linear_issue

Create a new issue

get_linear_issue

Get details for a specific issue

list_linear_cycles

List active cycles

list_linear_issues

List Linear issues

list_linear_labels

List issue labels

list_linear_projects

List active projects

list_linear_teams

List workspace teams

list_linear_users

List workspace members

update_linear_issue

Update an existing issue

Connect Linear to Vercel AI SDK via MCP

Follow these steps to wire Linear into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 11 tools from Linear and passes them to the LLM

Why Use Vercel AI SDK with the Linear MCP Server

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

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Linear integration everywhere

03

Built-in streaming UI primitives let you display Linear tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Linear + Vercel AI SDK Use Cases

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

01

AI-powered web apps: build dashboards that query Linear in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Linear tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Linear capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Linear through natural language queries

Example Prompts for Linear in Vercel AI SDK

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

01

"List all active issues and show their status."

02

"Create a new issue for the 'Frontend' team titled 'Implement Dashboard'."

03

"Check the team members in the 'Mobile' team."

Troubleshooting Linear MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Linear + Vercel AI SDK FAQ

Common questions about integrating Linear MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.