How to Use the ManyChat MCP in Vercel AI SDK

Q: Can Vercel AI SDK stream ManyChat tool executions?

Yes. When the agent uses findsubscriberbyname, the tool call and its results stream directly to your React or Svelte frontend. Users see the data appear immediately.

Q: How do I list available tags?

Call the listtags tool. The agent reads the list and applies the right one to the subscriber based on your prompt instructions.

Build live chat interfaces that stream ManyChat subscriber data directly to your users with Vercel AI SDK.

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Connect ManyChat MCP to Vercel AI SDK

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

Ask AI about this MCP

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Claude

Perplexity

Stream subscriber profiles live.

Use `find_subscriber_by_email` or `find_subscriber_by_phone` to pull contact records instantly. Your Vercel AI SDK application streams the results directly to the frontend without loading spinners. Once the agent locates the user, it calls `get_subscriber` to fetch their exact status. The React UI updates immediately, showing live engagement data right next to the chat window.

Update ManyChat fields from the UI.

Support teams can update user profiles via `set_custom_field` while typing responses. The AI client handles the API call in the background. You can also manage segmentation on the fly. The agent runs `add_tag` or `remove_tag` based on the conversation context, keeping your marketing lists perfectly organized without manual data entry.

Launch flows via MCP Server.

Start automated sequences directly from your Next.js app using `trigger_flow`. Your agent evaluates the user's intent and fires off the exact right automation. Before triggering anything, the system maps available options using `list_flows`. This ensures the AI always selects an active, published sequence for the handoff.

Setup guide

Set up ManyChat 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 ManyChat 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 ManyChat transactions",
});

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ManyChat. 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

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Common questions about ManyChat MCP in Vercel AI SDK

Install @ai-sdk/mcp and use createMCPClient. Pass the HTTP transport URL we provide. Then call mcpClient.tools() and feed the array into streamText.

Yes. When the agent uses find_subscriber_by_name, the tool call and its results stream directly to your React or Svelte frontend. Users see the data appear immediately.

You handle your own backoff logic inside the Vercel AI SDK application. The MCP server simply passes requests through to the platform.

Call the list_tags tool. The agent reads the list and applies the right one to the subscriber based on your prompt instructions.

Vinkius runs in an ephemeral V8 Isolate Sandbox. We route the request, execute the tool, and instantly destroy the environment. No contact details, custom fields, or chat histories touch a disk.

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