How to Use the Netdata MCP in CrewAI

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Connect Netdata MCP to CrewAI

Create your Vinkius account to connect Netdata to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Netdata with CrewAI

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Perplexity

Multi-Agent Incident Triage in CrewAI

Running a complex infrastructure setup requires constant vigilance. CrewAI lets you set up an autonomous team where one agent monitors alerts using `list_space_alerts` while another analyzes the root cause. When a warning triggers, the monitoring agent passes the node details to the analyst. The analyst then runs `get_chart_data` to inspect the exact timeline of the failure, working completely without human intervention.

Collaborative Topology Mapping

Keeping track of nodes across multiple environments is a pain. With this MCP Server, your CrewAI team can divide and conquer by assigning different spaces to different agents. One agent calls `list_spaces` to find active environments, while a subordinate agent maps the specific rooms using `list_rooms`. Together, they build a complete, real-time map of your active infrastructure.

Deep Metric Diagnostics

Raw metrics are useless without context. An agent can use `list_charts` to find out what telemetry is available on a struggling node, then drill down into the specifics. By calling `get_all_metrics`, the agent gathers a complete snapshot of system health. It then compares this data against active alarms from `get_alarms` to determine if a performance dip is an isolated event or a cluster-wide outage.

Setup guide

Set up Netdata MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Netdata tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Netdata Analyst",
    goal="Access and analyze Netdata data via MCP.",
    backstory="Expert analyst with direct Netdata access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Netdata transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Netdata Analyst",
        goal="Access and analyze Netdata data via MCP.",
        backstory="Expert analyst with direct Netdata access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Netdata transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Netdata. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Netdata MCP in CrewAI

You can pass the Vinkius Netdata server URL directly into the agent's `mcps` parameter during initialization. This instantly exposes tools like `get_alarms` and `get_chart_data` to that specific agent.

Yes. Use the advanced setup and apply a tool filter to the MCP Server to expose only safe diagnostic tools like `list_space_nodes` while hiding more detailed metrics.

CrewAI agents use shared memory. When the monitoring agent retrieves active alarms via `list_space_alerts`, those alerts are automatically available to the analyst agent for deeper inspection.

Absolutely. You can configure a sequential crew where Agent A retrieves the node list with `list_room_nodes`, Agent B checks their health with `get_agent_info`, and Agent C compiles the final status report.

The integration only reads system performance metrics, node statuses, and active alarm states. All communication flows through Vinkius's secure, zero-trust sandbox, ensuring your private infrastructure credentials are never exposed.

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