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Node-RED MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 11 tools to Add Flow, Delete Flow, Get Diagnostics, and more

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Node-RED through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this MCP Server for OpenAI Agents SDK

The Node-RED MCP Server for OpenAI Agents SDK is a standout in the Loved By Devs category — giving your AI agent 11 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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="Node-RED Assistant",
            instructions=(
                "You help users interact with Node-RED. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Node-RED"
        )
        print(result.final_output)

asyncio.run(main())
Node-RED
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Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Node-RED MCP Server

Connect your Node-RED instance to any AI agent to orchestrate your event-driven applications and IoT workflows through natural language.

The OpenAI Agents SDK auto-discovers all 11 tools from Node-RED through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Node-RED, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Flow Management — Retrieve, create, update, or delete entire flow configurations and individual tabs using get_flows, add_flow, and delete_flow.
  • Node Operations — List all installed node modules and dynamically install or remove npm packages with install_node and remove_node.
  • System Diagnostics — Monitor runtime health, including OS details, Node.js version, and memory usage via get_diagnostics.
  • Configuration Control — Fetch runtime settings and user information to understand your environment's constraints.

The Node-RED MCP Server exposes 11 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Node-RED tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Node-RED through Vinkius, your AI agent gets direct access to every tool listed below — spanning low-code, event-driven, workflow-automation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add flow on Node-RED

Add a new flow to the configuration

delete

Delete flow on Node-RED

Delete an individual flow

get

Get diagnostics on Node-RED

js, and memory usage. Get Node-RED system diagnostics

get

Get flow on Node-RED

Get an individual flow (tab) configuration

get

Get flows on Node-RED

Get active flow configuration

get

Get nodes on Node-RED

Get list of installed nodes

get

Get settings on Node-RED

Get Node-RED runtime settings

install

Install node on Node-RED

Install a new node module

remove

Remove node on Node-RED

Remove a node module

set

Set flows on Node-RED

Set active flow configuration

update

Update flow on Node-RED

Update an individual flow

Connect Node-RED to OpenAI Agents SDK via MCP

Follow these steps to wire Node-RED into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 11 tools from Node-RED

Why Use OpenAI Agents SDK with the Node-RED MCP Server

OpenAI Agents SDK provides unique advantages when paired with Node-RED through the Model Context Protocol.

01

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

02

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

03

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

04

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

Node-RED + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Node-RED MCP Server delivers measurable value.

01

Automated workflows: build agents that query Node-RED, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Node-RED, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Node-RED tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Node-RED to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Node-RED in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Node-RED immediately.

01

"Show me all active flows in my Node-RED instance."

02

"Check the system diagnostics and memory usage."

03

"Install the 'node-red-node-email' module."

Troubleshooting Node-RED MCP Server with OpenAI Agents SDK

Common issues when connecting Node-RED to OpenAI Agents SDK through Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

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

Node-RED + OpenAI Agents SDK FAQ

Common questions about integrating Node-RED MCP Server with OpenAI Agents SDK.

01

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.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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