AeroLeads MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Add New Lead, Delete Lead, Find Email By Name, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect AeroLeads 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 AeroLeads app connector for Vercel AI SDK is a standout in the Sales Automation category — giving your AI agent 12 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 AeroLeads, 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 AeroLeads MCP Server
Connect your AeroLeads account to any AI agent and take full control of your B2B lead generation and high-fidelity contact enrichment workflows through natural conversation.
The Vercel AI SDK gives every AeroLeads tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Verified Email Orchestration — Instantly find professional email addresses using prospect names and company domains with high-fidelity verification status
- LinkedIn Enrichment Intelligence — Programmatically retrieve over 60 data points from LinkedIn URLs, including verified phone numbers, job roles, and skills
- Prospect Lifecycle Management — List and manage your captured leads programmatically, or create new high-fidelity records directly through your agent
- Domain Discovery Architecture — Find all professional contacts associated with a specific company domain to identify key decision-makers programmatically
- Operational Monitoring — Track your remaining account credits and monitor team activity directly through your agent for instant performance reporting
The AeroLeads MCP Server exposes 12 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 12 AeroLeads tools available for Vercel AI SDK
When Vercel AI SDK connects to AeroLeads through Vinkius, your AI agent gets direct access to every tool listed below — spanning b2b-prospecting, email-verification, lead-enrichment, 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.
Manually add lead
Remove captured lead
Find email by name
Get profile info
Get credit status
Get full lead info
Enrich LinkedIn profile
List your leads
List lead lists
List account users
List active webhooks
Find leads in domain
Connect AeroLeads to Vercel AI SDK via MCP
Follow these steps to wire AeroLeads 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 AeroLeads MCP Server
Vercel AI SDK provides unique advantages when paired with AeroLeads 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 AeroLeads integration everywhere
Built-in streaming UI primitives let you display AeroLeads 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
AeroLeads + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the AeroLeads MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query AeroLeads in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate AeroLeads tools and return structured JSON responses to any frontend
Chatbots with tool use: embed AeroLeads capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with AeroLeads through natural language queries
Example Prompts for AeroLeads in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with AeroLeads immediately.
"Find the email for 'Elon Musk' at 'tesla.com'."
"Enrich the profile for this LinkedIn URL: 'https://linkedin.com/in/example'."
"Search for all leads in the 'vinkius.com' domain."
Troubleshooting AeroLeads MCP Server with Vercel AI SDK
Common issues when connecting AeroLeads to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAeroLeads + Vercel AI SDK FAQ
Common questions about integrating AeroLeads 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.