Bring Real Time Monitoring
to LlamaIndex
Learn how to connect Netdata to LlamaIndex and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Netdata MCP Server?
Connect your Netdata monitoring infrastructure to any AI agent for instant, real-time observability and performance analysis through natural language.
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.
How it works
- Subscribe to this server
- Enter your Netdata Cloud Token or Agent URL
- Start monitoring your infrastructure from Claude, Cursor, or any MCP-compatible client
No more jumping between dashboards to find which node is spiking. Your AI acts as a 24/7 SRE or System Administrator.
Who is this for?
- DevOps Engineers — instantly correlate system alerts with recent deployments without leaving the terminal or IDE.
- SREs — automate the retrieval of chart data and alarm statuses to speed up incident response.
- System Administrators — manage large-scale node environments by querying spaces and rooms via simple conversation.
Built-in capabilities (10)
Get Netdata Agent information
Get current status of all configured alarms
Get all metrics for scraping
Fetch metric data from a specific chart
). List all available charts on the node
List nodes within a specific room
List rooms within a specific space
Fetch active alerts across the space
List all nodes connected to a space
List all Netdata Cloud spaces
Why LlamaIndex?
LlamaIndex agents combine Netdata tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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.
- —
Data-first architecture: LlamaIndex agents combine Netdata tool responses with indexed documents for comprehensive, grounded answers
- —
Query pipeline framework lets you chain Netdata tool calls with transformations, filters, and re-rankers in a typed pipeline
- —
Multi-source reasoning: agents can query Netdata, a vector store, and a SQL database in a single turn and synthesize results
- —
Observability integrations show exactly what Netdata tools were called, what data was returned, and how it influenced the final answer
Netdata in LlamaIndex
Netdata and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Netdata to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Netdata in LlamaIndex
The Netdata 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Netdata for LlamaIndex
Every tool call from LlamaIndex to the Netdata MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I fetch specific metric data for a chart like CPU usage?
Use the get_chart_data tool. You need to provide the chart ID (e.g., 'system.cpu') and optionally specify time ranges like after or aggregation methods like group.
Can I see all active alerts across my entire Netdata Cloud space?
Yes! Use the list_space_alerts tool with your space_id. It will return all active alerts across all nodes connected to that specific Cloud space.
How do I list all the nodes available in a specific room?
Use the list_room_nodes tool. You will need to provide both the space_id and the room_id to filter the nodes within that specific grouping.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Netdata tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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