3,400+ MCP servers ready to use
Vinkius

OmniEngage MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Check Api Status, Create Prospect, Delete Prospect, and more

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect OmniEngage through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The OmniEngage app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
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 OmniEngage, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
OmniEngage
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 OmniEngage MCP Server

Connect your OmniEngage (Cynthia AI) account to any AI agent and take full control of your sales orchestration and prospect engagement through natural conversation. OmniEngage provides a powerful platform for automated LinkedIn and email outreach, and this integration allows you to retrieve prospect metadata, launch new research sequences, and monitor campaign performance directly from your chat interface.

The Vercel AI SDK gives every OmniEngage tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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

  • Prospect & Lead Orchestration — List all managed prospects and retrieve detailed profile metadata programmatically to ensure your sales pipeline is always synchronized.
  • Campaign & Sequence Control — Launch new outreach campaigns and trigger research sequences for prospects directly from the AI interface to drive better lead qualification.
  • Engagement Intelligence — Access and monitor campaign results and retrieve detailed engagement metadata via natural language to maintain a high-fidelity interaction history.
  • Webhook & Automation Control — List and oversee your configured webhooks to ensure your sales workflows are always optimized using simple AI commands.
  • Operational Monitoring — Track system responses and manage prospect statuses to ensure your outreach strategy is always high-performing.

The OmniEngage MCP Server exposes 12 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 12 OmniEngage tools available for Vercel AI SDK

When Vercel AI SDK connects to OmniEngage through Vinkius, your AI agent gets direct access to every tool listed below — spanning prospecting, outreach-automation, lead-generation, 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.

check_api_status

Verify API connectivity and account status

create_prospect

Pass data as a JSON string. Add a new prospect

delete_prospect

Remove a prospect from the system

get_campaign_details

Get details for a specific campaign

get_prospect_details

Get specific prospect details

launch_campaign

Pass data as a JSON string. Launch a new outreach campaign

list_outreach_campaigns

List all outreach campaigns

list_prospects

List all outreach prospects

list_sequences

List all outreach sequences

list_tags

List all prospect tags

list_webhooks

List configured synchronization webhooks

update_prospect

Update an existing prospect

Connect OmniEngage to Vercel AI SDK via MCP

Follow these steps to wire OmniEngage into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 12 tools from OmniEngage and passes them to the LLM

Why Use Vercel AI SDK with the OmniEngage MCP Server

Vercel AI SDK provides unique advantages when paired with OmniEngage through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same OmniEngage integration everywhere

03

Built-in streaming UI primitives let you display OmniEngage tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

OmniEngage + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the OmniEngage MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query OmniEngage in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate OmniEngage tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed OmniEngage capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with OmniEngage through natural language queries

Example Prompts for OmniEngage in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with OmniEngage immediately.

01

"List all active prospects in OmniEngage."

02

"Show me details for campaign ID camp_291 including its performance stats."

03

"List all outreach sequences available in my account."

Troubleshooting OmniEngage MCP Server with Vercel AI SDK

Common issues when connecting OmniEngage to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

OmniEngage + Vercel AI SDK FAQ

Common questions about integrating OmniEngage MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.