Linear (Issue Tracking & PM) MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Linear (Issue Tracking & PM) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 (Issue Tracking & PM), list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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.
The Vercel AI SDK gives every Linear (Issue Tracking & PM) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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 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 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.
How to Connect Linear (Issue Tracking & PM) to Vercel AI SDK via MCP
Follow these steps to integrate the Linear (Issue Tracking & PM) MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from Linear (Issue Tracking & PM) and passes them to the LLM
Why Use Vercel AI SDK with the Linear (Issue Tracking & PM) MCP Server
Vercel AI SDK provides unique advantages when paired with Linear (Issue Tracking & PM) through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Linear (Issue Tracking & PM) integration everywhere
Built-in streaming UI primitives let you display Linear (Issue Tracking & PM) tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Linear (Issue Tracking & PM) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Linear (Issue Tracking & PM) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Linear (Issue Tracking & PM) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Linear (Issue Tracking & PM) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Linear (Issue Tracking & PM) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Linear (Issue Tracking & PM) through natural language queries
Linear (Issue Tracking & PM) MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Linear (Issue Tracking & PM) to Vercel AI SDK via MCP:
get_issue
Get deep context for a specific identified Linear issue tracking limit
get_viewer
Get active authenticated mapping validating explicit global User boundaries
list_cycles
List current tracking sprint cycle bounds mapping start/end limits
list_issues
List recent issues mapped on Linear workspace
list_labels
List global string metadata tags bounding issue categorization logic
list_projects
List all explicit active mapped projects available in the workspace
list_teams
List all logical team segment boundaries mapping workspace access
list_users
List all explicitly mapped workspace members validating active access limits
Example Prompts for Linear (Issue Tracking & PM) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Linear (Issue Tracking & PM) immediately.
"List all active issues assigned to me in the 'Engineering' team"
"Show me the details for issue 'ENG-101'"
"What is the end date for the current sprint cycle?"
Troubleshooting Linear (Issue Tracking & PM) MCP Server with Vercel AI SDK
Common issues when connecting Linear (Issue Tracking & PM) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLinear (Issue Tracking & PM) + Vercel AI SDK FAQ
Common questions about integrating Linear (Issue Tracking & PM) MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Linear (Issue Tracking & PM) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Linear (Issue Tracking & PM) to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.