How to Use the Apollo.io MCP in Vercel AI SDK

Q: How do I use the Vercel AI SDK to stream Apollo.io search results?

Pass the searchpeople tool to the streamText function. As the MCP Server finds prospects in Apollo.io, the AI SDK will yield data chunks that you can render directly into a list in your React app.

Q: Can I build a credit monitoring dashboard for my Apollo.io account with the Vercel AI SDK?

Yes. The getcreditinfo tool returns your API usage and limits. You can call this tool and stream the numeric response into a component to show your team their remaining Apollo.io credits.

Q: What's the best way to handle authentication between the Vercel AI SDK and this Apollo.io server?

Use the authProvider option when you call createMCPClient. Your Vinkius endpoint token is passed securely in the transport headers, so the connection is authenticated and managed for you.

Q: Is it possible to check the Apollo.io API status within my Vercel AI SDK application?

Absolutely. The getapihealth tool is designed for exactly this. You can create a status indicator in your UI that periodically calls this tool to confirm the Apollo.io API is operational.

Build UIs that stream Apollo.io prospect data directly into your React components with the Vercel AI SDK.

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Connect Apollo.io MCP to Vercel AI SDK

Create your Vinkius account to connect Apollo.io to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Apollo.io with Vercel AI SDK

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Find & Display Prospects Instantly

The `search_people` tool finds new prospects in Apollo.io. With the Vercel AI SDK, you don't wait for a full list to load. The results stream directly into your UI, so users see contacts appearing one by one without a loading spinner. From there, you can let a user select a contact and trigger `enrich_person_data`. The enriched info—like a verified email or direct dial—populates your UI fields in real time. It’s a clean way to build interactive lead-gen tools that feel fast.

Enrich Company Data Live in Your App

This MCP Server gives you the `enrich_company_data` tool. When a user enters a company domain in your app, your agent can fetch firmographics, headcount, and tech stack info straight from Apollo.io. Because you're using the AI SDK, this data doesn't just return in a static JSON blob. It streams directly into your Svelte or Vue components, making your application feel responsive and alive. This is perfect for building dynamic account-based marketing dashboards.

Manage Sales Sequences From Your UI

Hook up your frontend to the `add_to_sequence` tool. Your users can find a prospect with `search_people`, qualify them, and add them to a sales sequence with a single click inside your product. You can also use `list_sales_sequences` to populate a dropdown menu, letting users pick the right campaign for each prospect. The Vercel AI SDK handles the state management behind the scenes, so you can just focus on building a great user experience.

Setup guide

Set up Apollo.io MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Apollo.io tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Apollo.io transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Apollo.io. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Apollo.io MCP in Vercel AI SDK

Pass the `search_people` tool to the `streamText` function. As the MCP Server finds prospects in Apollo.io, the AI SDK will yield data chunks that you can render directly into a list in your React app.

Yes. The `get_credit_info` tool returns your API usage and limits. You can call this tool and stream the numeric response into a component to show your team their remaining Apollo.io credits.

Use the `authProvider` option when you call `createMCPClient`. Your Vinkius endpoint token is passed securely in the transport headers, so the connection is authenticated and managed for you.

Absolutely. The `get_api_health` tool is designed for exactly this. You can create a status indicator in your UI that periodically calls this tool to confirm the Apollo.io API is operational.

All requests for contact and company data are proxied through Vinkius's ephemeral, zero-trust sandbox. The connection is TLS-encrypted, and your Vinkius token authenticates every call to the MCP Server, so your raw Apollo.io credentials are never exposed to the client-side code.

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