Make (Workflow Automation) MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Make (Workflow Automation) through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 Make (Workflow Automation), 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 Make (Workflow Automation) MCP Server
Connect your Make account to any AI agent and take full control of your visual workflow automation and scenario management through natural conversation.
The Vercel AI SDK gives every Make (Workflow Automation) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 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
- Scenario Orchestration — List all managed scenarios and retrieve detailed flow design structures, including module mappings and trigger settings directly from your agent
- Execution Diagnostics — Extract historical scenario logs to identify errors, track data processing volumes, and debug automation failures in real-time
- Infrastructure Audit — Enumerate active organizations, teams, and connections to understand your automation footprint and verify authentication hooks securely
- Data Store Visibility — List and inspect internal Make Data stores (key-value tables) to monitor persistent data used across your automated workflows
- Environment Mapping — Retrieve precise organization and team IDs required for complex downstream API operations and organizational auditing
- Metadata Inspection — Deep-dive into specific scenario configurations to understand the logic and logic loops powering your business processes
The Make (Workflow Automation) MCP Server exposes 7 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 Make (Workflow Automation) to Vercel AI SDK via MCP
Follow these steps to integrate the Make (Workflow Automation) 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 7 tools from Make (Workflow Automation) and passes them to the LLM
Why Use Vercel AI SDK with the Make (Workflow Automation) MCP Server
Vercel AI SDK provides unique advantages when paired with Make (Workflow Automation) 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 Make (Workflow Automation) integration everywhere
Built-in streaming UI primitives let you display Make (Workflow Automation) 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
Make (Workflow Automation) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Make (Workflow Automation) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Make (Workflow Automation) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Make (Workflow Automation) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Make (Workflow Automation) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Make (Workflow Automation) through natural language queries
Make (Workflow Automation) MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Make (Workflow Automation) to Vercel AI SDK via MCP:
get_scenario
Get Make scenario details
list_connections
List Make connections linked to an organization
list_data_stores
List Make data stores
list_organizations
List Make organizations for the current authenticated user
list_scenario_logs
Helps debug automation errors. Get execution logs of a Make scenario
list_scenarios
Check the list of organizations if org_id is unknown. List Make scenarios
list_teams
Needs org_id. List Make teams inside an organization
Example Prompts for Make (Workflow Automation) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Make (Workflow Automation) immediately.
"List all organizations in my Make account"
"Show me the execution logs for scenario ID 'scen-98765'"
"List all active connections in organization '12345'"
Troubleshooting Make (Workflow Automation) MCP Server with Vercel AI SDK
Common issues when connecting Make (Workflow Automation) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMake (Workflow Automation) + Vercel AI SDK FAQ
Common questions about integrating Make (Workflow Automation) 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 Make (Workflow Automation) 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 Make (Workflow Automation) to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.