# Observium CE

> Use this tool when you need to access and query network monitoring data, such as device status, traffic, and sensor readings, to troubleshoot and analyze network infrastructure health and performance. It provides read-only access to Observium CE data, supporting local and remote deployments, and enables natural language queries about network metrics and alert conditions. Ideal for use cases where network monitoring data needs to be easily retrieved and analyzed without requiring direct database or RRD tool expertise.

Canonical page: https://skillsregistry.net/skills/kdesch5000-observium  
JSON: https://api.skillsregistry.net/v1/skills/kdesch5000-observium

## Description

Provides read-only access to Observium CE network monitoring data through a comprehensive set of tools for querying device status, network port traffic, sensor readings, alerts, and historical trends. Supports both local and remote deployments via SSH tunneling for database access and RRD file retrieval, enabling natural language queries about network infrastructure health, performance metrics, and alert conditions. Built to bridge network monitoring data with LLM interactions, making it easy to ask questions about device status, CPU trends, or alert conditions without needing direct database or RRD tool knowledge.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kdesch5000-observium)
- **Repository:** <https://github.com/kdesch5000/observium-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kdesch5000-observium"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kdesch5000-observium` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kdesch5000-observium/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt