AirMatch Pro MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Check Airmatch Status, Create Proposal, Get Lead, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect AirMatch Pro 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 AirMatch Pro app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 10 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 AirMatch Pro, 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 AirMatch Pro MCP Server
Connect your AirMatch Pro account to any AI agent and take full control of your HVAC sales engineering and automated proposal workflows through natural conversation.
The Vercel AI SDK gives every AirMatch Pro tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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 & Proposal Orchestration — List and manage your entire HVAC sales pipeline programmatically, retrieving detailed technical proposals and customer status
- Financial Intelligence Sync — Programmatically monitor and sync sales data with QuickBooks to maintain a perfectly coordinated audit trail for your HVAC business
- Project Architecture — Access your complete directory of HVAC installations and maintenance projects to oversee your organizational resource allocation in real-time
- Engagement Monitoring — Access real-time lead interaction metadata and track proposal acceptance directly through your agent for instant operational reporting
- Operational Monitoring — Verify account-level API connectivity and monitor sales volume directly through your agent for perfectly coordinated firm scaling
The AirMatch Pro MCP Server exposes 10 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 10 AirMatch Pro tools available for Vercel AI SDK
When Vercel AI SDK connects to AirMatch Pro through Vinkius, your AI agent gets direct access to every tool listed below — spanning airmatch-pro, hvac-sales-api, proposal-automation, 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 AirMatch Pro API connectivity
Optionally link to an existing customer. Create a new proposal
Get lead details
Get your AirMatch Pro profile
Get proposal details
List all customers
List all estimates
List all jobs
List all leads
List all proposals
Connect AirMatch Pro to Vercel AI SDK via MCP
Follow these steps to wire AirMatch Pro 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 AirMatch Pro MCP Server
Vercel AI SDK provides unique advantages when paired with AirMatch Pro 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 AirMatch Pro integration everywhere
Built-in streaming UI primitives let you display AirMatch Pro 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
AirMatch Pro + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the AirMatch Pro MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query AirMatch Pro in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate AirMatch Pro tools and return structured JSON responses to any frontend
Chatbots with tool use: embed AirMatch Pro capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with AirMatch Pro through natural language queries
Example Prompts for AirMatch Pro in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with AirMatch Pro immediately.
"List all active proposals for 'John Smith'."
"Check the QuickBooks sync status for yesterday's sales."
"Retrieve the last 5 leads captured in AirMatch Pro."
Troubleshooting AirMatch Pro MCP Server with Vercel AI SDK
Common issues when connecting AirMatch Pro to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAirMatch Pro + Vercel AI SDK FAQ
Common questions about integrating AirMatch Pro 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.