Giddyup MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 13 tools to Check Giddyup Status, Create Job, Create Lead, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Giddyup through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Giddyup app connector for Vercel AI SDK is a standout in the Construction category — giving your AI agent 13 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Giddyup, 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 Giddyup MCP Server
Connect your Giddyup account to any AI agent and take full control of your roofing and construction workflows through natural conversation.
The Vercel AI SDK gives every Giddyup tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 13 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
- Lead Orchestration — List and manage potential customer records programmatically, including contact info and acquisition metadata
- Job Lifecycle — Monitor active roofing and construction projects and retrieve detailed technical metadata and status in real-time
- Customer Intelligence — Access your complete customer directory and retrieve detailed profiles to streamline field coordination
- Operational Visibility — Get a comprehensive overview of your construction pipeline using natural language commands
- Field Coordination — Access granular details for specific jobs to ensure your team has the latest project requirements
The Giddyup MCP Server exposes 13 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 13 Giddyup tools available for Vercel AI SDK
When Vercel AI SDK connects to Giddyup through Vinkius, your AI agent gets direct access to every tool listed below — spanning job-dispatching, route-optimization, lead-management, 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.
Verify connectivity
Create a job
Create a lead
Get customer details
Get job details
Get lead details
List customers
List invoices
List jobs
List leads
List technicians
Update a job
Update a lead
Connect Giddyup to Vercel AI SDK via MCP
Follow these steps to wire Giddyup into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Giddyup MCP Server
Vercel AI SDK provides unique advantages when paired with Giddyup 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 Giddyup integration everywhere
Built-in streaming UI primitives let you display Giddyup 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
Giddyup + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Giddyup MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Giddyup in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Giddyup tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Giddyup capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Giddyup through natural language queries
Example Prompts for Giddyup in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Giddyup immediately.
"List all active roofing jobs in Giddyup."
"Show me the latest 3 leads collected this week."
"Get details for job ID 'J-12345'."
Troubleshooting Giddyup MCP Server with Vercel AI SDK
Common issues when connecting Giddyup to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGiddyup + Vercel AI SDK FAQ
Common questions about integrating Giddyup 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.