Adversus MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 7 tools to Add Contact To Campaign, Get Campaign Details, List Account Users, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Adversus through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Adversus app connector for Vercel AI SDK is a standout in the Sales Automation category — giving your AI agent 7 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Adversus, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Adversus MCP Server
Connect your Adversus account to any AI agent and take full control of your outbound sales operations, telemarketing, and CRM orchestration through natural conversation.
The Vercel AI SDK gives every Adversus tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 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
- Campaign Orchestration — List all telemarketing and outreach campaigns programmatically, retrieving detailed status, high-fidelity metadata, and performance metrics in real-time
- Lead Execution Intelligence — Programmatically add new contacts and leads to specific campaigns to coordinate your automated dialer and outreach strategy
- Contact Database Management — Access complete directories of leads and contacts assigned to campaigns, retrieving high-fidelity profile metadata and relationship history
- Project & Team Visibility — Access configured CRM projects and associated campaigns to maintain a perfectly coordinated sales pipeline
- Operational Monitoring — Access high-fidelity metadata for account agents and verify API connectivity directly through your agent for instant operational reporting
The Adversus MCP Server exposes 7 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 7 Adversus tools available for Vercel AI SDK
When Vercel AI SDK connects to Adversus through Vinkius, your AI agent gets direct access to every tool listed below — spanning dialer, telemarketing, outbound-sales, 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.
Add a new contact to a campaign
Get details for a specific campaign
List team users
List global leads
List contacts in a campaign
List Adversus campaigns
List projects
Connect Adversus to Vercel AI SDK via MCP
Follow these steps to wire Adversus into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Adversus MCP Server
Vercel AI SDK provides unique advantages when paired with Adversus through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Adversus integration everywhere
Built-in streaming UI primitives let you display Adversus tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Adversus + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Adversus MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Adversus in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Adversus tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Adversus capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Adversus through natural language queries
Example Prompts for Adversus in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Adversus immediately.
"List all active campaigns and their performance in Adversus."
"Add 'John Doe' (+15550123) to the 'New Business' campaign (ID: 'camp_456')."
"Show the last 5 leads captured across all my campaigns."
Troubleshooting Adversus MCP Server with Vercel AI SDK
Common issues when connecting Adversus to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAdversus + Vercel AI SDK FAQ
Common questions about integrating Adversus MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.