Can I see the modules and filters used in a Make scenario through my agent?

Yes. Use the `get_scenario` tool with a specific Scenario ID. Your agent will retrieve the complete design structure, exposing the modules, mapping variables, and any logic filters configured in the flow.

How do I find out why a Make scenario failed recently?

The `list_scenario_logs` tool allows your agent to extract the execution history for a given scenario. You'll be able to see exactly when the failure occurred and retrieve the error message to assist with debugging.

Can my agent list all active connections in my Make organization?

Absolutely. Use the `list_connections` tool with your Organization ID. Your agent will report all configured auth hooks, helping you audit which services are currently linked to your Make account.

Make (Workflow Automation) MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes

Name: Make (Workflow Automation)
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 7 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Make (Workflow Automation) through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Make (Workflow Automation) Assistant",
            instructions=(
                "You help users interact with Make (Workflow Automation). "
                "You have access to 7 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Make (Workflow Automation)"
        )
        print(result.final_output)

asyncio.run(main())

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* 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 OpenAI Agents SDK auto-discovers all 7 tools from Make (Workflow Automation) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Make (Workflow Automation), another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Make (Workflow Automation) MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 7 tools from Make (Workflow Automation)

Why Use OpenAI Agents SDK with the Make (Workflow Automation) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Make (Workflow Automation) through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Make (Workflow Automation) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Make (Workflow Automation) MCP Server delivers measurable value.

Automated workflows: build agents that query Make (Workflow Automation), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Make (Workflow Automation), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Make (Workflow Automation) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Make (Workflow Automation) to resolve tickets, look up records, and update statuses without human intervention

Make (Workflow Automation) MCP Tools for OpenAI Agents SDK (7)

These 7 tools become available when you connect Make (Workflow Automation) to OpenAI Agents 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

Common issues when connecting Make (Workflow Automation) to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Make (Workflow Automation) + OpenAI Agents SDK FAQ

Common questions about integrating Make (Workflow Automation) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.