Linear MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
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.
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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, 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 MCP Server
Connect your Linear workspace to any AI agent and take full control of your issue tracking and sprint workflows through natural conversation.
The Vercel AI SDK gives every Linear tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- 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 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 to Vercel AI SDK via MCP
Follow these steps to integrate the Linear 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 12 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.
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 integration everywhere
Built-in streaming UI primitives let you display Linear 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 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Linear MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Linear in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Linear tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Linear capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Linear through natural language queries
Linear MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Linear to Vercel AI SDK via MCP:
create_comment
The body supports Linear Markdown format including @mentions and ~~strikethrough~~. Add a comment to a Linear issue
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
get_issue
Use the issue ID (UUID) or the human-readable identifier (e.g. TEAM-123). Get full details for a Linear issue
get_project
Get details for a specific Linear project
get_viewer
Useful to verify which account the API token belongs to. Get current authenticated Linear user details
list_cycles
Each cycle has a number, name, start date, end date and completion progress percentage. List Linear cycles (sprints) for a team
list_issues
Optionally filter by team ID to get issues for a specific team only. List Linear issues
list_labels
Optionally filter by team ID. Each label has a name, color and optional description. List Linear issue labels
list_projects
Projects group issues across multiple teams. Use optional limit to control how many results to fetch. List Linear projects
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
search_issues
Optionally filter results to a specific team. Returns issues with identifier, title, state, priority, assignee and URL. Search Linear issues by text
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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Linear immediately.
"Show me all unresolved issues assigned to the Engineering team."
"Create a new issue in the Backend team titled 'Add rate limiting to /api/search endpoint' with high priority."
"What's the current sprint cycle progress for 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.
createMCPClient is not a function
npm install @ai-sdk/mcpLinear + Vercel AI SDK FAQ
Common questions about integrating Linear 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 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 to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.