How to Use the Chanty MCP in Vercel AI SDK

Build real-time team collaboration into your Next.js app. Connect the Chanty MCP Server to Vercel AI SDK and stream chat data directly.

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Connect Chanty MCP to Vercel AI SDK

Create your Vinkius account to connect Chanty 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 Chanty with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Stream live messages with Vercel AI SDK

Your frontend users hate loading spinners. Wire up `list_messages` through your Vercel AI SDK client, and watch chat history render instantly in your React components. The standard streamText function handles the heavy lifting while the user sees data immediately. Posting replies works exactly the same way. When a user submits a form, trigger `send_message` in the background. The text drops straight into the target channel without breaking the client-side experience.

Manage workspaces dynamically

Creating new project spaces shouldn't require manual admin work. You can build a custom setup wizard that fires `create_conversation` the moment a user completes onboarding. Directory management works the same way. Run `invite_member` to pull fresh users into the workspace, or hit `list_members` to map out active user IDs for your custom UI dropdowns.

Clear out stale MCP Server data

Temporary project channels clutter up the workspace fast. Build a cleanup button that triggers `delete_conversation` when a sprint ends, keeping the primary interface clean. Mistakes happen during live chat sessions. Give your users a quick undo action tied to `delete_message` so they can pull back typos or incorrect data before anyone else sees it.

Setup guide

Set up Chanty 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 Chanty 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 Chanty 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 Chanty. 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.

Connect Chanty now

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 Chanty MCP in Vercel AI SDK

Use createMCPClient pointing to the Vinkius MCP Server endpoint. Call mcpClient.tools() and pass the array straight into your generateText or streamText setup.

The SDK streams the resulting JSON back to your frontend immediately. When you invoke list_messages, your UI updates as the data arrives instead of waiting for the full payload.

It runs perfectly on the edge. The Vinkius endpoint handles the heavy lifting, so your Edge Function just makes standard HTTP calls to manage conversations and users.

Always call mcpClient.close() when your MCP Server connection finishes. Leaving connections open can drain resources and cause memory leaks in your node processes.

Vinkius runs every request in an ephemeral V8 Isolate Sandbox. Your internal chat histories, user email addresses, and private messages exist only during the execution window. The environment self-destructs the moment the process ends.

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