ManyChat MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ManyChat through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 ManyChat, 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 ManyChat MCP Server
Connect your ManyChat account to any AI agent and take full control of your messenger marketing automation through natural conversation.
The Vercel AI SDK gives every ManyChat tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through the 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
- Subscriber Management — Get detailed info, find subscribers by name or custom fields
- Tagging — Add or remove tags to segment your audience on the fly
- Flow Automation — Send specific flows to subscribers or list available flows
- Custom Fields — Set and query custom field values for personalized interactions
The ManyChat MCP Server exposes 11 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.
How to Connect ManyChat to Vercel AI SDK via MCP
Follow these steps to integrate the ManyChat MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 11 tools from ManyChat and passes them to the LLM
Why Use Vercel AI SDK with the ManyChat MCP Server
Vercel AI SDK provides unique advantages when paired with ManyChat 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 ManyChat integration everywhere
Built-in streaming UI primitives let you display ManyChat 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
ManyChat + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ManyChat MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ManyChat in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ManyChat tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ManyChat capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ManyChat through natural language queries
ManyChat MCP Tools for Vercel AI SDK (11)
These 11 tools become available when you connect ManyChat to Vercel AI SDK via MCP:
add_tag
Add a tag to a subscriber
find_subscriber_by_custom_field
Find subscribers by custom field value
find_subscriber_by_name
Find subscribers by name
get_subscriber_flows
Get all flows assigned to a subscriber
get_subscriber_info
Get subscriber information by ID
get_subscriber_tags
Get all tags assigned to a subscriber
list_custom_fields
List all custom fields on the page
list_tags
List all tags on the page
remove_tag
Remove a tag from a subscriber
send_flow
Send a flow to a subscriber
set_custom_field
Set a custom field value for a subscriber
Example Prompts for ManyChat in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ManyChat immediately.
"Find subscriber info for ID 12345678."
"Add the 'VIP' tag to subscriber 12345678."
"List all tags on my ManyChat page."
Troubleshooting ManyChat MCP Server with Vercel AI SDK
Common issues when connecting ManyChat to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpManyChat + Vercel AI SDK FAQ
Common questions about integrating ManyChat 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.Connect ManyChat with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ManyChat to Vercel AI SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.