Intercom MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Contact, Create Conversation, Get Contact Details, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Intercom 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 Intercom app connector for Vercel AI SDK is a standout in the Talk To Me 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 Intercom, 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 Intercom MCP Server
Connect your Intercom account to any AI agent and manage customer communications through natural conversation.
The Vercel AI SDK gives every Intercom 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
- Contact Management — List contacts, inspect profiles with tags and custom attributes, and search by email or name
- Conversation Tracking — Browse all conversations, inspect threads with full message history, and monitor status
- Messaging — Send messages to contacts and reply to active conversations
- Company Records — List companies, inspect profiles with user counts and custom data
- CRM Search — Search contacts and companies using Intercom's query syntax
- Admin Management — List all team members and their roles
The Intercom 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 Intercom tools available for Vercel AI SDK
When Vercel AI SDK connects to Intercom through Vinkius, your AI agent gets direct access to every tool listed below — spanning conversational-ai, helpdesk, customer-messaging, 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.
Register a new contact
Start a new conversation
Get details for a contact
Get conversation history
List workspace admins
List Intercom contacts
List recent conversations
List custom attributes
List help center articles
List workspace segments
Reply to a conversation
Search contacts with filters
Connect Intercom to Vercel AI SDK via MCP
Follow these steps to wire Intercom 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 Intercom MCP Server
Vercel AI SDK provides unique advantages when paired with Intercom 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 Intercom integration everywhere
Built-in streaming UI primitives let you display Intercom 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
Intercom + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Intercom MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Intercom in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Intercom tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Intercom capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Intercom through natural language queries
Example Prompts for Intercom in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Intercom immediately.
"Show all open conversations and the contact details for the most recent one."
"Search for all contacts at acmecorp.com and list their companies."
"Send a follow-up message to Ana Costa and list all team admins."
Troubleshooting Intercom MCP Server with Vercel AI SDK
Common issues when connecting Intercom to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpIntercom + Vercel AI SDK FAQ
Common questions about integrating Intercom 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.