How to Use the Adversus MCP in Vercel AI SDK

Q: How do I configure the Adversus MCP Server with Vercel AI SDK?

Install @ai-sdk/mcp and set up the HTTP transport using your Vinkius endpoint. Pass the tools array from createMCPClient directly into streamText to let your agent call dialing functions.

Q: Can I stream Adversus campaign details to React components using Vercel AI SDK?

Yes. When the agent triggers getcampaigndetails, the SDK streams the tool call state directly, letting you render custom UI blocks for each active dialer campaign.

Q: How do I clean up connections after querying user lists?

Always call mcpClient.close() once your agent finishes executing listaccountusers. This prevents orphaned HTTP connections from lingering in your serverless environment.

Stream live dialer campaigns and pipeline data straight to your React frontends with Vercel AI SDK.

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Connect Adversus MCP to Vercel AI SDK

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

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Feed live campaign tables to Vercel AI SDK frontends

The `list_campaigns` tool lets your agent fetch active sales structures and render them instantly in your Next.js UI. Instead of waiting for a full payload to resolve, the Vercel AI SDK streams these campaign blocks as they load, keeping your sales managers updated. When users drill down, the agent calls `get_campaign_details` to populate live metrics. This setup bypasses the usual loading spinners by piping raw JSON straight into your custom React components.

Trigger Adversus campaign signups from interactive UI

The `add_contact_to_campaign` tool lets your agent register leads on the fly directly inside your application's chat interface using this MCP Server. You'll see the frontend update in real time to show the contact's placement within the dialer queue. By mapping tool execution directly to client-side state, you get zero-latency feedback. There's no intermediate database poll required to verify the update.

Render active dialer queues in edge-rendered views

The `list_active_leads` tool feeds active lead data into your Edge Functions for immediate agent analysis using this MCP Server. If a sales rep needs to audit dialer assignments, they can run a query to pull `list_campaign_contacts` without hitting database bottlenecks. Your UI stays snappy because the SDK handles the raw data stream on the fly. That means no sluggish dashboards when the sales floor is busy.

Setup guide

Set up Adversus 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 Adversus 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 Adversus 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 Adversus. 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 Adversus MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and set up the HTTP transport using your Vinkius endpoint. Pass the tools array from `createMCPClient` directly into `streamText` to let your agent call dialing functions.

Yes. When the agent triggers `get_campaign_details`, the SDK streams the tool call state directly, letting you render custom UI blocks for each active dialer campaign.

It does. The HTTP transport model in this MCP setup runs on lightweight edge runtimes, allowing fast calls to `list_active_leads` without cold-start delays.

Always call `mcpClient.close()` once your agent finishes executing `list_account_users`. This prevents orphaned HTTP connections from lingering in your serverless environment.

Your Adversus lead records, campaign details, and agent lists never touch external databases. Vinkius isolates the connection in a zero-trust V8 sandbox, passing encrypted payloads directly to your local application.

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