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Vinkius runs on Vercel AI SDK

How to Use the Outreach MCP in Vercel AI SDK

Build React frontends that stream live Outreach prospect data directly to your users with Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

Outreach MCP on Cursor AI Code Editor MCP Client Outreach MCP on Claude Desktop App MCP Integration Outreach MCP on OpenAI Agents SDK MCP Compatible Outreach MCP on Visual Studio Code MCP Extension Client Outreach MCP on GitHub Copilot AI Agent MCP Integration Outreach MCP on Google Gemini AI MCP Integration Outreach MCP on Lovable AI Development MCP Client Outreach MCP on Mistral AI Agents MCP Compatible Outreach MCP on Amazon AWS Bedrock MCP Support
MCP Servers - Free for Subscribers
Vinkius runs on Vercel AI SDK

Connect Outreach MCP to Vercel AI SDK

Create your Vinkius account to connect Outreach 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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Key Capabilities

Live Prospect Pipeline Streaming

Your users can watch live updates as your Vercel AI SDK app streams Outreach contact records. By exposing Outreach `list_prospects` and `get_prospect_details` as real-time streams, your Vercel AI SDK interface renders incoming sales leads chunk by chunk instead of waiting for a slow API payload to resolve. This direct connection means Vercel AI SDK developers can give sales reps immediate visual feedback when searching for Outreach targets. They see Outreach names, titles, and phone numbers populate their React screens instantly, removing the friction of traditional sales tools.

On-the-Fly Sequence Enrollment with MCP Server

Drop this Outreach MCP Server directly into your Edge Functions to let reps trigger sequences with zero latency using Vercel AI SDK. The Vercel AI SDK client calls `add_to_sequence` and streams the exact Outreach templates it selects via `list_email_templates` straight to the UI. Because Vercel AI SDK manages the Outreach tool calls on the edge, the UI updates the moment the prospect is added. Reps don't stare at loading wheels; they watch the Outreach sequence steps paint onto their dashboard in real time.

Instant Deal Status Auditing

Let your reps inspect active sales pipelines by streaming live Outreach deal metrics with Vercel AI SDK. The Vercel AI SDK client calls `list_opportunities` and maps financial values directly into your React components as the Outreach data arrives. If the Outreach data needs fixing, the Vercel AI SDK agent calls `update_prospect` to correct records instantly. The entire loop runs inside an ephemeral V8 sandbox, keeping your Outreach API keys hidden while keeping the Vercel AI SDK interface snappy.

Setup guide

Set up Outreach 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 Outreach 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 Outreach 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 Outreach. 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.

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Common questions about Outreach MCP in Vercel AI SDK

You call mcpClient.tools() to grab the MCP tools and feed them to streamText. The agent calls `list_sequences` and streams the response directly to your UI components, showing active sequences in real time.
Yes. This MCP Server runs in a lightweight sandbox that is fully compatible with Edge runtimes. Your agent can execute `add_to_sequence` instantly without cold-start delays.
Vinkius manages the authentication handshake for you. You pass a single endpoint token to createMCPClient and use the authProvider to safely manage user sessions.
Use streamText to call `list_sent_emails`. The SDK streams the raw email logs directly into your chat or dashboard interface, letting reps review past touches without refreshing the page.
Your Outreach prospect phone numbers and emails never persist on Vinkius servers. Every single API request runs inside an isolated, ephemeral V8 sandbox that destroys its memory state the moment the stream ends.

Start using the Outreach MCP today

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