How to Use the Enrich CRM MCP in Vercel AI SDK

Q: How do I hook up Enrich CRM to Vercel AI SDK?

Install the @ai-sdk/mcp package, initialize your client with the Vinkius endpoint, and pass mcpClient.tools() directly to your model's tool parameter. It takes about five lines of code to get running.

Q: Does the Enrich CRM MCP server support Vercel AI SDK streaming?

Yes, it supports streaming via the streamText function. When your model calls enrichcompany, the raw technographic data streams directly into your UI components without blocking the rest of the text generation.

Feed live contact data directly into your Next.js UI using Vercel AI SDK and this CRM MCP server.

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Connect Enrich CRM MCP to Vercel AI SDK

Create your Vinkius account to connect Enrich CRM 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 Enrich CRM with Vercel AI SDK

Ask AI about this MCP

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Claude

Perplexity

Update Next.js UI with live buyer data

The `enrich_person` tool sends professional bio updates straight to your Vercel AI SDK stream without making the user wait for a page reload. Your interface displays social links and job titles the millisecond the API returns them. You pass these tools directly into `streamText` to avoid writing custom API endpoints for every single data point. This keeps your edge functions fast and your interface highly responsive.

Vercel AI SDK fetches verified contact details

Finding direct contact lines happens instantly when your agent invokes `find_phone` and `find_email` within your application's chat window. The SDK handles the transport layer so you don't have to manage long-polling or manual state updates. Users get verified phone numbers and professional email addresses rendered in their active workspace immediately. The underlying MCP server handles the API handshakes silently in the background.

Verify customer account tiers instantly

Running `get_account_info` ensures your app knows exactly which features or limits apply to a user before running expensive operations. Your Vercel AI SDK agent checks this status on the fly during the initial system prompt phase. This prevents unauthorized API usage and keeps your cloud costs under control. It runs inside standard edge middleware without adding latency to the user's session.

Setup guide

Set up Enrich CRM 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 Enrich CRM 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 Enrich CRM 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 Enrich CRM. 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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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

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Single dashboard

One

place for every integration

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Common questions about Enrich CRM MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package, initialize your client with the Vinkius endpoint, and pass `mcpClient.tools()` directly to your model's tool parameter. It takes about five lines of code to get running.

Yes, it supports streaming via the `streamText` function. When your model calls `enrich_company`, the raw technographic data streams directly into your UI components without blocking the rest of the text generation.

Yes, it runs on lightweight HTTP transports, making it fully compatible with Vercel Edge Runtime. You won't hit package size limits or cold start delays when looking up records via `find_email`.

Vinkius manages all the API keys and tokens on its end. Your Vercel AI SDK setup only needs one environment variable to talk to the secure MCP server.

This server processes corporate emails and phone numbers temporarily during the lookup phase. We don't store or log the contact details queried by `find_phone` on our infrastructure, maintaining strict compliance with your data policies.

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