Customerly MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 8 tools to Add Tag, Create Update Lead, Create Update User, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Customerly 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 Customerly app connector for Vercel AI SDK is a standout in the Marketing category — giving your AI agent 8 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 Customerly, 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 Customerly MCP Server
Connect your Customerly account to any AI agent and take full control of your customer success and support workflows through natural conversation.
The Vercel AI SDK gives every Customerly 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
- User & Lead Orchestration — Create and manage customer profiles programmatically, including synchronizing custom attributes and managing lifecycle status
- Conversation Intelligence — Access complete chat histories and retrieve detailed interaction metadata to provide high-fidelity context for support
- Engagement Tracking — Monitor active chat sessions and customer interactions in real-time to optimize your team's response strategy
- Audience Segmentation — Programmatically add or remove tags for users and leads to maintain a structured and personalized communication ecosystem
- Record Management — Securely delete user records or update contact identification to ensure your database remains perfectly coordinated and compliant
The Customerly 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.
All 8 Customerly tools available for Vercel AI SDK
When Vercel AI SDK connects to Customerly through Vinkius, your AI agent gets direct access to every tool listed below — spanning customerly, customer-success-api, live-chat-automation, 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.
Provide tag name and contact identification. Add a tag to a contact
Create or update a lead
Provide email and optionally user_id, name, and attributes. Create or update a user
Delete a user
Get details of a specific conversation
List all conversations
List all users
Remove a tag from a contact
Connect Customerly to Vercel AI SDK via MCP
Follow these steps to wire Customerly 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 Customerly MCP Server
Vercel AI SDK provides unique advantages when paired with Customerly 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 Customerly integration everywhere
Built-in streaming UI primitives let you display Customerly 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
Customerly + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Customerly MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Customerly in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Customerly tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Customerly capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Customerly through natural language queries
Example Prompts for Customerly in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Customerly immediately.
"List all active users in my Customerly account."
"Create a new lead for 'Jane Smith' at 'jane@example.com'."
"Show me the transcript for conversation ID 'conv_456'."
Troubleshooting Customerly MCP Server with Vercel AI SDK
Common issues when connecting Customerly to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCustomerly + Vercel AI SDK FAQ
Common questions about integrating Customerly 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.