AgentFire MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Check Agentfire Status, Create Lead, Get Lead, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect AgentFire 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 AgentFire app connector for Vercel AI SDK is a standout in the Real Estate 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 AgentFire, 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 AgentFire MCP Server
Connect your AgentFire account to any AI agent and take full control of your real estate website and automated lead capture workflows through natural conversation.
The Vercel AI SDK gives every AgentFire 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 Portfolio Orchestration — List and manage all captured property inquiries programmatically, retrieving detailed lead profile metadata and contact tags
- Web Engagement Intelligence — Programmatically monitor property clicks and access engagement metadata to coordinate your sales follow-up strategy
- Property Graph Monitoring — Access real-time updates for active listings and track user interaction duration directly through your agent for instant reporting
- Metadata Management — Programmatically retrieve interest signals and search history to maintain a perfectly coordinated CRM record
- Operational Monitoring — Verify account-level API connectivity and monitor lead capture volume directly through your agent for perfectly coordinated service scaling
The AgentFire 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 AgentFire tools available for Vercel AI SDK
When Vercel AI SDK connects to AgentFire through Vinkius, your AI agent gets direct access to every tool listed below — spanning property-listings, real-estate-marketing, lead-capture, 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 AgentFire API connectivity
Email is required. Create a new lead
Get lead details
Get listing details
Get your AgentFire profile
List all contacts
List all leads
List all property listings
Search property listings
Only provided fields are changed. Update a lead
Connect AgentFire to Vercel AI SDK via MCP
Follow these steps to wire AgentFire 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 AgentFire MCP Server
Vercel AI SDK provides unique advantages when paired with AgentFire 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 AgentFire integration everywhere
Built-in streaming UI primitives let you display AgentFire 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
AgentFire + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the AgentFire MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query AgentFire in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate AgentFire tools and return structured JSON responses to any frontend
Chatbots with tool use: embed AgentFire capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with AgentFire through natural language queries
Example Prompts for AgentFire in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with AgentFire immediately.
"List all new leads captured in AgentFire this week."
"Show the property interest for lead ID 'lead_123'."
"Check for any active listings with zero engagement this month."
Troubleshooting AgentFire MCP Server with Vercel AI SDK
Common issues when connecting AgentFire to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAgentFire + Vercel AI SDK FAQ
Common questions about integrating AgentFire 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.