How to Use the Crisp MCP in Vercel AI SDK
Stream real-time Crisp visitor data directly into your Vercel AI SDK frontends.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Crisp MCP to Vercel AI SDK
Create your Vinkius account to connect Crisp 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.
Live visitor data in Vercel AI SDK
Feed your UI with live chat history using `get_conversation` and `get_messages`. Your frontends update instantly as visitors type. Stop waiting for spinners. The Vercel AI SDK pushes Crisp data into your components the second it hits the server.
Manage support flows via Vercel AI SDK
Use `send_message` to push replies back to your visitors from your custom dashboard. You control the chat exit points directly from your code. Your app handles the logic while the Crisp MCP Server manages the message transport layer.
Visitor profiling for Vercel AI SDK
Call `get_visitor_profile` to pull specific user details into your app state. It lets you personalize the experience based on their chat history. Use `list_visitors` to keep a live count of who's currently browsing. It makes your dashboard much more useful.
Set up Crisp MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all Crisp tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 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.
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 Crisp 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 Crisp. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Crisp MCP in Vercel AI SDK
Use it with your favorite AI tools
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Start using the Crisp MCP today
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