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How to Use the LeadsRx MCP in Vercel AI SDK

Stream real-time attribution data from LeadsRx directly into your Vercel AI SDK frontends for live marketing insights.

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…and any MCP-compatible client

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Vercel AI SDK

Connect LeadsRx MCP to Vercel AI SDK

Create your Vinkius account to connect LeadsRx 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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Live campaign attribution in Vercel AI SDK

Feed your UI with live attribution data by hooking `get_campaign_results` into your streamText calls. Your users see performance metrics appear instantly as the model processes them. This bypasses the usual wait times for API lookups. By wiring `list_campaigns` into your frontend logic, you ensure the data displayed matches the actual state of your marketing spend.

Track conversions inside your React components

Use `add_conversion` to trigger events directly from your application logic. It registers user actions without requiring a heavy backend round-trip. Your AI agent can then pull the current status using `get_conversion_details`. This keeps your user-facing dashboards accurate and reduces the need for manual database syncs.

Map touchpoints with Vercel AI SDK tools

Expose `list_touchpoints` to your agent so it can crawl the customer journey. You get a clear view of which ads actually drive revenue. When you combine this with `get_touchpoint_details`, your application provides granular insights. It turns raw tracking data into a readable narrative for your end users.

Setup guide

Set up LeadsRx 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 LeadsRx transactions",
});

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

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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

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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

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about LeadsRx MCP in Vercel AI SDK

You initialize the client via the MCP transport and pass the tools into your agent's configuration. Once registered, your model calls `list_advertisers` or other available functions to pull data during the execution flow.
Yes, it runs on the edge as long as your environment variables for the API key are configured. The transport layer handles the connection, allowing your serverless functions to query attribution records on demand.
The current tool set provides access to conversion lists, but you need to manage the record count in your own logic. You can loop through `list_conversions` to gather larger datasets if your specific use case requires it.
Your API tokens stay on the server side and never reach the client browser. The Vercel AI SDK architecture ensures that only your backend code interacts with the LeadsRx endpoint.
This server only processes conversion events and campaign metadata. Every request requires your unique endpoint token, ensuring that your attribution records remain isolated from other accounts.

Start using the LeadsRx MCP today

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