Node-RED MCP Server for LangChainGive LangChain instant access to 11 tools to Add Flow, Delete Flow, Get Diagnostics, and more

Name: Node-RED
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Node-RED through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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The Node-RED MCP Server for LangChain 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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "node-red": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Node-RED, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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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.

LangChain's ecosystem of 500+ components combines seamlessly with Node-RED through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 11 tools from Node-RED via MCP

Why Use LangChain with the Node-RED MCP Server

LangChain provides unique advantages when paired with Node-RED through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Node-RED MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Node-RED queries for multi-turn workflows

Node-RED + LangChain Use Cases

Practical scenarios where LangChain combined with the Node-RED MCP Server delivers measurable value.

RAG with live data: combine Node-RED tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Node-RED, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Node-RED tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Node-RED tool call, measure latency, and optimize your agent's performance

Example Prompts for Node-RED in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Node-RED + LangChain FAQ

Common questions about integrating Node-RED MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.