LinearB MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect LinearB 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 LinearB, 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 LinearB MCP Server
Connect your LinearB account to any AI agent to automate your engineering intelligence and DORA metrics reporting. This MCP server enables your agent to query cycle time, track deployments, and report incidents directly from natural language interfaces.
The Vercel AI SDK gives every LinearB tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 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
- Metric Ingestion — Query complex engineering metrics including cycle time, coding time, and pickup time across teams
- Deployment Management — Inform LinearB of new software releases by reporting Git refs (SHAs or tags) programmatically
- Incident Tracking — Report and list engineering incidents to maintain accurate Change Failure Rate and MTTR metrics
- Metadata Oversight — List teams and connected repositories to map technical IDs to organizational structures
- DORA Analytics — Retrieve aggregated performance data to identify bottlenecks in your delivery pipeline
The LinearB MCP Server exposes 7 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 LinearB to Vercel AI SDK via MCP
Follow these steps to integrate the LinearB 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 7 tools from LinearB and passes them to the LLM
Why Use Vercel AI SDK with the LinearB MCP Server
Vercel AI SDK provides unique advantages when paired with LinearB 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 LinearB integration everywhere
Built-in streaming UI primitives let you display LinearB 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
LinearB + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the LinearB MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query LinearB in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate LinearB tools and return structured JSON responses to any frontend
Chatbots with tool use: embed LinearB capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with LinearB through natural language queries
LinearB MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect LinearB to Vercel AI SDK via MCP:
list_connected_repos
List all connected repositories
list_engineering_teams
List all teams defined in LinearB
list_software_deployments
List recent deployments
list_software_incidents
List engineering incidents
query_software_metrics
Requires a JSON body with requested_metrics and time_ranges. Query software engineering metrics (v2)
record_new_deployment
Requires repo_id and ref. Report a new deployment to LinearB
record_new_incident
Requires provider_id and started_at. Report a new incident
Example Prompts for LinearB in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with LinearB immediately.
"Query the average cycle_time for the last 30 days for team 'Backend'."
"Record a new deployment for repo ID '123' with Git ref 'v1.2.0'."
"Report a new incident starting now for provider 'OpsGenie'."
Troubleshooting LinearB MCP Server with Vercel AI SDK
Common issues when connecting LinearB to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLinearB + Vercel AI SDK FAQ
Common questions about integrating LinearB 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 LinearB 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 LinearB to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.