How to Use the Persana AI MCP in Vercel AI SDK

Q: Can I build an interactive lead table using these tools?

You can call getleadlist to fetch target leads and render them dynamically inside your Next.js components as the agent finds them.

Feed live sales signals and enriched lead data directly into your Next.js UI using Vercel AI SDK and Persana AI.

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…and any MCP-compatible client

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Connect Persana AI MCP to Vercel AI SDK

Create your Vinkius account to connect Persana AI 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 Persana AI with Vercel AI SDK

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Stream live intent signals to your UI

The `get_signals` tool pulls live intent signals directly through your Vercel AI SDK application. When a prospect shows buying signals, the Persana AI data streams straight to your Vercel UI client without making them wait. You get instant UI updates by piping the Persana AI JSON payload directly into your React components via Vercel AI SDK. Forget backend polling; Vercel AI SDK handles the Persana AI stream to keep your custom sales dashboard insanely fast.

Enrich contacts on the fly with Vercel AI SDK

The `enrich_person` tool fetches deep background details on any prospect and sends them to your Vercel AI SDK components in real-time. We combine this with `enrich_company` to build a complete profile of the target account directly within your Next.js edge route via this MCP Server. Users watch the prospect's work history and company size render line-by-line as Vercel AI SDK streams the Persana AI details. This design completely eliminates annoying loading spinners when rendering Persana AI profiles inside your Vercel AI SDK app.

Verify deliverability inside your app

The `verify_email` tool checks lead addresses inside your Vercel AI SDK code to keep your bounce rates near zero. By handling this MCP tool call at the edge, Vercel AI SDK catches bad Persana AI addresses before they enter your database. Your Vercel AI SDK agent triggers this alongside `lookup_email` to check Persana AI contact points before your user even hits send. The Vercel UI updates instantly, showing a green checkmark the millisecond the Persana AI server confirms the inbox exists.

Setup guide

Set up Persana AI 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 Persana AI 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 Persana AI transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Persana AI. 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.

Why Choose Vinkius

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Common questions about Persana AI MCP in Vercel AI SDK

Install the required packages and initialize the HTTP transport client pointing to your Vinkius MCP Server endpoint. Pass the tools from your client directly to streamText to let your agent call search_people during a live chat session.

Yes, the Vercel AI SDK handles MCP tool execution perfectly inside edge environments. You can run find_job_changes and stream the structured results back to the browser with zero cold-start latency.

The server manages provider limits on the backend so your frontend code stays clean. If you run a massive create_lead_list query, the server handles the queue while Vercel AI SDK streams the progress.

You can call get_lead_list to fetch target leads and render them dynamically inside your Next.js components as the agent finds them.

Your lead lists and email addresses are processed in secure, ephemeral V8 isolates on Vinkius. No data is cached or stored permanently, ensuring your sales intelligence remains strictly private.

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