Netdata MCP Server for CrewAIGive CrewAI 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

Connect your CrewAI agents to Netdata through Vinkius, pass the Edge URL in the `mcps` parameter and every Netdata tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The Netdata MCP Server for CrewAI is a standout in the Cloud Infrastructure category — giving your AI agent 10 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Netdata Specialist",
    goal="Help users interact with Netdata effectively",
    backstory=(
        "You are an expert at leveraging Netdata tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Netdata "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, Netdata becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Netdata tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI

When CrewAI 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 CrewAI via MCP

Follow these steps to wire Netdata into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Netdata

Why Use CrewAI with the Netdata MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Netdata through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Netdata + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Netdata for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Netdata, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Netdata tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Netdata against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Netdata in CrewAI

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

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Netdata + CrewAI FAQ

Common questions about integrating Netdata MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.