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People Data Labs MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 14 tools to Pdl Autocomplete, Pdl Bulk Enrich Company, Pdl Bulk Enrich Person, and more

MCP Inspector GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect People Data Labs 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 MCP Server for Vercel AI SDK

The People Data Labs MCP Server for Vercel AI SDK is a standout in the Data Analytics category — giving your AI agent 14 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
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 People Data Labs, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
People Data Labs
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 People Data Labs MCP Server

Connect People Data Labs to your AI agent to access one of the most comprehensive B2B datasets available. Enrich profiles, identify prospects, and search through millions of person and company records using natural language.

The Vercel AI SDK gives every People Data Labs tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 14 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

  • Person Enrichment — Retrieve full professional profiles using just an email, phone number, or social media URL (LinkedIn, Twitter, etc.).
  • Company Intelligence — Get detailed company metadata, including industry, size, location, and stock tickers.
  • Advanced Search — Query the entire Person or Company dataset using SQL or Elasticsearch DSL directly from your conversation.
  • Identity Resolution — Identify multiple potential profiles associated with a set of attributes to find the best match.
  • Bulk Operations — Enrich up to 100 person or company records in a single request for high-scale workflows.

The People Data Labs MCP Server exposes 14 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 14 People Data Labs tools available for Vercel AI SDK

When Vercel AI SDK connects to People Data Labs through Vinkius, your AI agent gets direct access to every tool listed below — spanning b2b-data, data-enrichment, identity-resolution, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

pdl

Pdl autocomplete on People Data Labs

Get autocomplete suggestions for Search API query values

pdl

Pdl bulk enrich company on People Data Labs

Bulk enrich up to 100 companies

pdl

Pdl bulk enrich person on People Data Labs

Bulk enrich up to 100 persons

pdl

Pdl clean company on People Data Labs

Clean and standardize raw company data

pdl

Pdl clean location on People Data Labs

Clean and standardize raw location data

pdl

Pdl clean school on People Data Labs

Clean and standardize raw school data

pdl

Pdl enrich company on People Data Labs

Enrich a company profile

pdl

Pdl enrich ip on People Data Labs

Enrich an IP address

pdl

Pdl enrich job title on People Data Labs

Enrich a job title to find similar titles and relevant skills

pdl

Pdl enrich person on People Data Labs

Enrich a person profile using attributes

pdl

Pdl identify person on People Data Labs

Returns match_score. Identify multiple possible person profiles

pdl

Pdl search company on People Data Labs

Provide either an Elasticsearch DSL query or a SQL query. Search the Company Dataset using Elasticsearch DSL or SQL

pdl

Pdl search job posting on People Data Labs

Search active and historical job postings

pdl

Pdl search person on People Data Labs

Provide either an Elasticsearch DSL query or a SQL query. Search the Person Dataset using Elasticsearch DSL or SQL

Connect People Data Labs to Vercel AI SDK via MCP

Follow these steps to wire People Data Labs into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 14 tools from People Data Labs and passes them to the LLM

Why Use Vercel AI SDK with the People Data Labs MCP Server

Vercel AI SDK provides unique advantages when paired with People Data Labs through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same People Data Labs integration everywhere

03

Built-in streaming UI primitives let you display People Data Labs tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

People Data Labs + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the People Data Labs MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query People Data Labs in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate People Data Labs tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed People Data Labs capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with People Data Labs through natural language queries

Example Prompts for People Data Labs in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with People Data Labs immediately.

01

"Enrich the person profile for the email 'sean@peopledatalabs.com'."

02

"Search for companies in the 'Financial Services' industry with more than 1000 employees using SQL."

03

"Identify potential profiles for 'John Doe' who works at 'Google'."

Troubleshooting People Data Labs MCP Server with Vercel AI SDK

Common issues when connecting People Data Labs to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

People Data Labs + Vercel AI SDK FAQ

Common questions about integrating People Data Labs MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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