Node-RED MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Add Flow, Delete Flow, Get Diagnostics, and more
GDPR Free for SubscribersLlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Node-RED as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this MCP Server for LlamaIndex
The Node-RED MCP Server for LlamaIndex 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
Geminiimport asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Node-RED. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Node-RED?"
)
print(response)
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.
LlamaIndex agents combine Node-RED tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex
When LlamaIndex 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 LlamaIndex via MCP
Follow these steps to wire Node-RED into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Node-RED MCP Server
LlamaIndex provides unique advantages when paired with Node-RED through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Node-RED tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Node-RED tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Node-RED, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Node-RED tools were called, what data was returned, and how it influenced the final answer
Node-RED + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Node-RED MCP Server delivers measurable value.
Hybrid search: combine Node-RED real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Node-RED to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Node-RED for fresh data
Analytical workflows: chain Node-RED queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Node-RED in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Node-RED to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNode-RED + LlamaIndex FAQ
Common questions about integrating Node-RED MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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