Autobound MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Check Autobound Status, Enrich Bulk, Enrich Company, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Autobound 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 Autobound app connector for Vercel AI SDK is a standout in the Artificial Intelligence 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
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 Autobound, 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 Autobound MCP Server
Connect your Autobound account to any AI agent and take full control of your outbound sales intelligence and lead enrichment workflows through natural conversation.
The Vercel AI SDK gives every Autobound 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
- Signal Orchestration — Perform high-fidelity semantic search for B2B signals like job changes, funding rounds, and technology adoption using natural language
- Lead Enrichment Intelligence — Retrieve real-time buying signals and deep firmographic data for companies and individual contacts using just domains or emails
- Outbound Content Automation — Programmatically trigger the generation of highly personalized email and LinkedIn content to coordinate your outreach strategy
- Campaign Architecture — Monitor your active outreach campaigns and track lead distribution across your sales funnel to maintain high-fidelity oversight
- Sales Discovery — Get a comprehensive overview of prospect activities and buying intent directly through your agent for instant performance reporting
The Autobound 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 Autobound tools available for Vercel AI SDK
When Vercel AI SDK connects to Autobound through Vinkius, your AI agent gets direct access to every tool listed below — spanning sales-intelligence, lead-enrichment, 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.
Verify connectivity
Bulk enrich contacts
Enrich a company
Enrich a contact
Execute a campaign
Generate sales email
Generate LinkedIn message
Get campaign details
Get signal details
List campaigns
List prospects
Search buyer signals
Connect Autobound to Vercel AI SDK via MCP
Follow these steps to wire Autobound 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 Autobound MCP Server
Vercel AI SDK provides unique advantages when paired with Autobound 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 Autobound integration everywhere
Built-in streaming UI primitives let you display Autobound 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
Autobound + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Autobound MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Autobound in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Autobound tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Autobound capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Autobound through natural language queries
Example Prompts for Autobound in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Autobound immediately.
"Search for companies in New York with a recent 'Funding' signal."
"Enrich domain 'vinkius.com' and show buying signals."
"List all active outbound campaigns in my Autobound account."
Troubleshooting Autobound MCP Server with Vercel AI SDK
Common issues when connecting Autobound to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAutobound + Vercel AI SDK FAQ
Common questions about integrating Autobound 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.