Hunter MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create New Lead, Enrich Email Data, Find Person Email, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Hunter 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 Hunter 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 Hunter, 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 Hunter MCP Server
Connect your Hunter account to any AI agent and power your email prospecting through natural conversation.
The Vercel AI SDK gives every Hunter 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
- Domain Search — Find all professional email addresses associated with a domain or company name
- Email Finder — Discover the most likely email address for a specific person by name and company
- Email Verification — Check the validity and deliverability of any email address with confidence scores
- Email Count — Check how many email addresses are available for a domain before searching
- Contact Enrichment — Retrieve all available professional data (title, company, social profiles) for an email address
- Lead Management — Create, list, update, and delete leads in your Hunter CRM with lead list organization
- Account Monitoring — Track remaining API credits and account usage
The Hunter 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 Hunter tools available for Vercel AI SDK
When Vercel AI SDK connects to Hunter through Vinkius, your AI agent gets direct access to every tool listed below — spanning email-finder, domain-search, email-verification, 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.
Save lead to CRM
Get contact intel
Find personal email
Check credits
Check email availability
Get lead info
List lead lists
List lead profiles
Delete lead record
Find emails for domain
Modify lead data
Check deliverability
Connect Hunter to Vercel AI SDK via MCP
Follow these steps to wire Hunter 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 Hunter MCP Server
Vercel AI SDK provides unique advantages when paired with Hunter 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 Hunter integration everywhere
Built-in streaming UI primitives let you display Hunter 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
Hunter + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Hunter MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Hunter in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Hunter tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Hunter capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Hunter through natural language queries
Example Prompts for Hunter in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Hunter immediately.
"Find all emails at stripe.com and verify the CTO's email address."
"Find the email for Sarah Chen at Acme Corp and enrich her contact data."
"Check my Hunter account credits and list all saved leads."
Troubleshooting Hunter MCP Server with Vercel AI SDK
Common issues when connecting Hunter to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpHunter + Vercel AI SDK FAQ
Common questions about integrating Hunter 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.