Netdata MCP Server for Google ADKGive Google ADK instant access to 10 tools to Get Agent Info, Get Alarms, Get All Metrics, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Netdata as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this MCP Server for Google ADK
The Netdata MCP Server for Google ADK is a standout in the Cloud Infrastructure category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="netdata_agent",
instruction=(
"You help users interact with Netdata "
"using 10 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports Netdata as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Real-time Metrics — Fetch granular data from specific charts (CPU, RAM, Disk, Network) using
get_chart_datato diagnose performance bottlenecks. - Agent Health — Inspect node versions, host information, and enabled features with
get_agent_infoandlist_charts. - Alert Management — Query active alarms on local agents via
get_alarmsor monitor space-wide critical issues usinglist_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 Google ADK 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 Google ADK
When Google ADK 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 agent info on Netdata
Get Netdata Agent information
Get alarms on Netdata
Get current status of all configured alarms
Get all metrics on Netdata
Get all metrics for scraping
Get chart data on Netdata
Fetch metric data from a specific chart
List charts on Netdata
). List all available charts on the node
List room nodes on Netdata
List nodes within a specific room
List rooms on Netdata
List rooms within a specific space
List space alerts on Netdata
Fetch active alerts across the space
List space nodes on Netdata
List all nodes connected to a space
List spaces on Netdata
List all Netdata Cloud spaces
Connect Netdata to Google ADK via MCP
Follow these steps to wire Netdata into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Netdata MCP Server
Google ADK provides unique advantages when paired with Netdata through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Netdata
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Netdata tools with BigQuery, Vertex AI, and Cloud Functions
Netdata + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Netdata MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Netdata and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Netdata tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Netdata regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Netdata
Example Prompts for Netdata in Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting Netdata to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkNetdata + Google ADK FAQ
Common questions about integrating Netdata MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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