Node-RED MCP Server for AutoGenGive AutoGen instant access to 11 tools to Add Flow, Delete Flow, Get Diagnostics, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Node-RED as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this MCP Server for AutoGen
The Node-RED MCP Server for AutoGen is a standout in the Loved By Devs category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="node_red_agent",
tools=tools,
system_message=(
"You help users with Node-RED. "
"11 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(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 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Node-RED tools. Connect 11 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Flow Management — Retrieve, create, update, or delete entire flow configurations and individual tabs using
get_flows,add_flow, anddelete_flow. - Node Operations — List all installed node modules and dynamically install or remove npm packages with
install_nodeandremove_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 AutoGen 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 AutoGen
When AutoGen 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 flow on Node-RED
Add a new flow to the configuration
Delete flow on Node-RED
Delete an individual flow
Get diagnostics on Node-RED
js, and memory usage. Get Node-RED system diagnostics
Get flow on Node-RED
Get an individual flow (tab) configuration
Get flows on Node-RED
Get active flow configuration
Get nodes on Node-RED
Get list of installed nodes
Get settings on Node-RED
Get Node-RED runtime settings
Install node on Node-RED
Install a new node module
Remove node on Node-RED
Remove a node module
Set flows on Node-RED
Set active flow configuration
Update flow on Node-RED
Update an individual flow
Connect Node-RED to AutoGen via MCP
Follow these steps to wire Node-RED into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Node-RED MCP Server
AutoGen provides unique advantages when paired with Node-RED through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Node-RED tools to solve complex tasks
Role-based architecture lets you assign Node-RED tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Node-RED tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Node-RED tool responses in an isolated environment
Node-RED + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Node-RED MCP Server delivers measurable value.
Collaborative analysis: one agent queries Node-RED while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Node-RED, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Node-RED data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Node-RED responses in a sandboxed execution environment
Example Prompts for Node-RED in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Node-RED immediately.
"Show me all active flows in my Node-RED instance."
"Check the system diagnostics and memory usage."
"Install the 'node-red-node-email' module."
Troubleshooting Node-RED MCP Server with AutoGen
Common issues when connecting Node-RED to AutoGen through Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Node-RED + AutoGen FAQ
Common questions about integrating Node-RED MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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