Netdata MCP Server for LangChainGive LangChain instant access to 10 tools to Get Agent Info, Get Alarms, Get All Metrics, and more

Name: Netdata
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Netdata 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 Netdata MCP Server for LangChain is a standout in the Cloud Infrastructure category — giving your AI agent 10 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

Claude

ChatGPT

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Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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({
        "netdata": {
            "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 Netdata, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

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 Netdata MCP Server

Connect your Netdata monitoring infrastructure to any AI agent for instant, real-time observability and performance analysis through natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Netdata through native MCP adapters. Connect 10 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

Real-time Metrics — Fetch granular data from specific charts (CPU, RAM, Disk, Network) using get_chart_data to diagnose performance bottlenecks.
Agent Health — Inspect node versions, host information, and enabled features with get_agent_info and list_charts.
Alert Management — Query active alarms on local agents via get_alarms or monitor space-wide critical issues using list_space_alerts.
Cloud Orchestration — Navigate your entire infrastructure by listing spaces, rooms, and nodes connected to Netdata Cloud.
Scraping & Export — Retrieve all metrics in a format suitable for external analysis tools using get_all_metrics.

The Netdata MCP Server exposes 10 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 10 Netdata tools available for LangChain

When LangChain connects to Netdata through Vinkius, your AI agent gets direct access to every tool listed below — spanning real-time-monitoring, infrastructure-observability, system-metrics, 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.

get

Get agent info on Netdata

Get Netdata Agent information

get

Get alarms on Netdata

Get current status of all configured alarms

get

Get all metrics on Netdata

Get all metrics for scraping

get

Get chart data on Netdata

Fetch metric data from a specific chart

list

List charts on Netdata

). List all available charts on the node

list

List room nodes on Netdata

List nodes within a specific room

list

List rooms on Netdata

List rooms within a specific space

list

List space alerts on Netdata

Fetch active alerts across the space

list

List space nodes on Netdata

List all nodes connected to a space

list

List spaces on Netdata

List all Netdata Cloud spaces

Connect Netdata to LangChain via MCP

Follow these steps to wire Netdata 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 10 tools from Netdata via MCP

Why Use LangChain with the Netdata MCP Server

LangChain provides unique advantages when paired with Netdata through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Netdata 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 Netdata queries for multi-turn workflows

Netdata + LangChain Use Cases

Practical scenarios where LangChain combined with the Netdata MCP Server delivers measurable value.

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

Autonomous research agents: LangChain agents query Netdata, synthesize findings, and generate comprehensive research reports

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

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

Example Prompts for Netdata in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Netdata immediately.

"Get the current information and version of the Netdata agent."

"List all available charts on this node so I can see what metrics are being collected."

"Are there any active alarms or warnings on the local agent right now?"

Troubleshooting Netdata MCP Server with LangChain

Common issues when connecting Netdata to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Netdata + LangChain FAQ

Common questions about integrating Netdata 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.