How to Use the Cliengo MCP in Vercel AI SDK

Q: How do I connect the Cliengo MCP Server to Vercel AI SDK?

Pass the Vinkius endpoint URL into createMCPClient({ transport: { type: "http", url: "..." } }). Call mcpClient.tools() and feed the result into streamText. Always run mcpClient.close() when the session ends.

Q: Does the Cliengo integration for Vercel AI SDK work on Edge Functions?

The @ai-sdk/mcp package runs perfectly on Edge. You can deploy your chat auditing dashboard globally without worrying about cold starts. Just ensure your Vinkius auth token is in your environment variables.

Q: How do I filter leads by specific websites?

First run listcliengowebsites to grab your project IDs. Then pass those identifiers into your lead queries. The AI handles the correlation before streaming the filtered list back to the client.

Stream live Cliengo chat history and lead data directly into your Vercel AI SDK frontends.

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Connect Cliengo MCP to Vercel AI SDK

Create your Vinkius account to connect Cliengo 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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Setup Cliengo with Vercel AI SDK

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Claude

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Stream lead details to your UI

The `list_cliengo_leads` tool exposed by this MCP pulls your captured contacts straight into the browser. You wire this up to `streamText`, and the end user watches the lead roster populate in real-time. Grabbing specifics requires the `get_lead_details` tool. Your React component renders the exact timeline of a prospect's interaction without waiting for a backend polling loop to finish.

Vercel AI SDK chat history rendering

Calling `get_chat_history` fetches the complete transcript of any chatbot session. The Vercel AI SDK streams those messages into your custom dashboard as fast as the MCP Server returns them. If you need a broader view, `list_chat_conversations` grabs the active threads. Your frontend users get immediate context on WhatsApp or web widget interactions before taking over the support ticket.

Map internal routing live

Knowing who handles what is managed by `list_cliengo_users`. You can build a real-time agent availability widget that queries this endpoint and updates the DOM instantly. Tracking active domains happens through `list_cliengo_websites` and `list_cliengo_webhooks`. Your Next.js app displays exactly where your conversational marketing widgets are deployed across the internet.

Setup guide

Set up Cliengo 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

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
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

Discover and use tools

Call mcpClient.tools() to auto-discover all Cliengo tools. Pass them directly to generateText() or streamText() — 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.

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 Cliengo transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cliengo. 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 Cliengo MCP in Vercel AI SDK

Pass the Vinkius endpoint URL into `createMCPClient({ transport: { type: "http", url: "..." } })`. Call `mcpClient.tools()` and feed the result into `streamText`. Always run `mcpClient.close()` when the session ends.

Yes, the SDK handles the streaming out of the box. Your UI components will render the output of `get_chat_history` chunk by chunk. Users see the conversation transcript appear instantly.

The `@ai-sdk/mcp` package runs perfectly on Edge. You can deploy your chat auditing dashboard globally without worrying about cold starts. Just ensure your Vinkius auth token is in your environment variables.

First run `list_cliengo_websites` to grab your project IDs. Then pass those identifiers into your lead queries. The AI handles the correlation before streaming the filtered list back to the client.

The server processes raw PII like phone numbers and email addresses from your chat logs. Vinkius runs the connection inside an ephemeral V8 Isolate Sandbox. Zero data persists after the request completes.

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