3,400+ MCP servers ready to use
Vinkius

Persana AI MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Create Lead List, Delete Lead List, Enrich Company, and more

Built by Vinkius GDPR 11 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Persana AI through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Persana AI app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Persana AI, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Persana AI
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 Persana AI MCP Server

Connect your Persana AI account to any AI agent and take full control of your outbound sales orchestration and lead intelligence through natural conversation. Persana AI provides a powerful platform for finding deep B2B insights, tracking real-time buying signals (like job changes or funding), and maintaining a high-fidelity sales pipeline.

The Vercel AI SDK gives every Persana AI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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 & Account Enrichment — Retrieve 100+ firmographic data points and professional backgrounds programmatically to ensure your prospecting is always synchronized.
  • Intent & Buying Signal Tracking — Monitor real-time intent signals and job changes across your target accounts directly from the AI interface to prioritize your outreach.
  • Email Lookup & Verification — Perform waterfall email verification to ensure high deliverability and accuracy via natural language.
  • Lead List Management — Access and monitor your organized lead lists and retrieve detailed prospect metadata using simple AI commands.
  • Operational Monitoring — Track system responses and manage organizational metadata to ensure your sales workflows are always optimized.

The Persana AI MCP Server exposes 11 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 11 Persana AI tools available for Vercel AI SDK

When Vercel AI SDK connects to Persana AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning lead-scoring, outbound-sales, intent-signals, 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.

create_lead_list

Create a new lead list

delete_lead_list

Delete a lead list

enrich_company

Pass data as a JSON string. Enrich company data

enrich_person

Pass data as a JSON string. Enrich person data

find_job_changes

Find recent job changes in your target accounts

get_lead_list

Get specific lead list details

get_signals

Get sales intent signals

list_lead_lists

List all lead lists

lookup_email

Verify and lookup emails

search_people

Search for people by criteria

verify_email

Verify if an email address is deliverable

Connect Persana AI to Vercel AI SDK via MCP

Follow these steps to wire Persana AI into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the 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 11 tools from Persana AI and passes them to the LLM

Why Use Vercel AI SDK with the Persana AI MCP Server

Vercel AI SDK provides unique advantages when paired with Persana AI 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 Persana AI integration everywhere

03

Built-in streaming UI primitives let you display Persana AI 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

Persana AI + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Persana AI MCP Server delivers measurable value.

01

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

02

API backends: create serverless endpoints that orchestrate Persana AI tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Persana AI capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Persana AI through natural language queries

Example Prompts for Persana AI in Vercel AI SDK

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

01

"Enrich the prospect with LinkedIn URL 'https://linkedin.com/in/robert-chen'."

02

"Enrich the professional profile for sarah.chen@meridian.io with company and social data."

03

"Find all job changes in my target account list from the last 30 days."

Troubleshooting Persana AI MCP Server with Vercel AI SDK

Common issues when connecting Persana AI to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Persana AI + Vercel AI SDK FAQ

Common questions about integrating Persana AI 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.