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Shortcut MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes

Built by Vinkius GDPR 7 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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 Shortcut, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Shortcut
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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 Shortcut MCP Server

Grant your AI agent (like Claude or Cursor) absolute administrative dominion over your Shortcut project management environment. The Shortcut MCP equips your LLM to act as a fully autonomous scrum master and project auditor. Forget clicking through endless boards—now you can interrogate task backlogs, audit iterations, and orchestrate developers exclusively via natural conversational prompts deeply integrated with the REST API.

The Vercel AI SDK gives every Shortcut 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

  • Deep Story Infiltration — Rip through dense backlogs via search_stories. Need the grit on a specific ticket? Drill down violently with get_story_details directly from your IDE to extract every description and sub-task effortlessly
  • Strategic Epic & Sprint Surveillance — Audit high-level roadmaps invoking list_epics and monitor ongoing sprints by extracting list_iterations to forecast roadmap failure or success without opening a single tab
  • Team & Workflow Cartography — Interrogate the hierarchy applying list_projects, isolate specific developer IDs using list_members, and trace custom state mappings across the pipeline using list_workflows

The Shortcut 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 Shortcut to Vercel AI SDK via MCP

Follow these steps to integrate the Shortcut MCP Server with Vercel AI SDK.

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 7 tools from Shortcut and passes them to the LLM

Why Use Vercel AI SDK with the Shortcut MCP Server

Vercel AI SDK provides unique advantages when paired with Shortcut 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 Shortcut integration everywhere

03

Built-in streaming UI primitives let you display Shortcut 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

Shortcut + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Shortcut MCP Tools for Vercel AI SDK (7)

These 7 tools become available when you connect Shortcut to Vercel AI SDK via MCP:

01

get_story_details

Retrieves details for a specific story

02

list_epics

Lists all epics in Shortcut

03

list_iterations

Lists all iterations (sprints)

04

list_members

Lists all workspace members

05

list_projects

Lists all projects

06

list_workflows

g., "To Do", "Done") a story can be in. Lists all workflows and their states

07

search_stories

Useful for tracking specific tasks or features. Searches for stories in Shortcut

Example Prompts for Shortcut in Vercel AI SDK

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

01

"Find all stories mentioning 'database timeout' using keyword search."

02

"List all ongoing epics and let me evaluate our current roadmap vectors."

03

"List workflows to show me all valid issue states in this organization."

Troubleshooting Shortcut MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Shortcut + Vercel AI SDK FAQ

Common questions about integrating Shortcut 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.

Connect Shortcut to Vercel AI SDK

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.