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Vinkius

Outreach MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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

main();
Outreach
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* 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 Outreach MCP Server

Connect Outreach to your AI agent and manage your enterprise sales engagement platform conversationally.

The Vercel AI SDK gives every Outreach tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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 Management — Search, create, and update prospect records with contact information, tags, and engagement history.
  • Sequence Tracking — List active sequences, check enrollment statuses, and monitor step completion rates.
  • Email Analytics — Pull open rates, reply rates, bounce rates, and click metrics across sequences and campaigns.
  • Activity Feed — Query recent calls, emails, and tasks across your SDR team for pipeline visibility.

The Outreach MCP Server exposes 8 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.

How to Connect Outreach to Vercel AI SDK via MCP

Follow these steps to integrate the Outreach MCP Server with Vercel AI SDK.

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 8 tools from Outreach and passes them to the LLM

Why Use Vercel AI SDK with the Outreach MCP Server

Vercel AI SDK provides unique advantages when paired with Outreach 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 Outreach integration everywhere

03

Built-in streaming UI primitives let you display Outreach 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

Outreach + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Outreach MCP Tools for Vercel AI SDK (8)

These 8 tools become available when you connect Outreach to Vercel AI SDK via MCP:

01

get_outreach_prospect

Get details for a specific prospect

02

get_outreach_sequence_stats

Get engagement metrics for a sequence

03

list_outreach_accounts

List company accounts

04

list_outreach_emails

List email addresses linked to prospects

05

list_outreach_mailboxes

List connected sending mailboxes

06

list_outreach_prospects

List sales prospects

07

list_outreach_sequences

List automated outreach sequences

08

list_outreach_tasks

List sales tasks

Example Prompts for Outreach in Vercel AI SDK

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

01

"How are my active sequences performing?"

02

"Search for prospect 'David Kim' in Outreach."

03

"What did my SDR team accomplish yesterday?"

Troubleshooting Outreach MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Outreach + Vercel AI SDK FAQ

Common questions about integrating Outreach 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.

Connect Outreach to Vercel AI SDK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.