# Agentic (System Monitoring & RAG)

> Use this tool when you need to integrate AI assistants with system monitoring and knowledge retrieval capabilities. Agentic solves problems related to real-time system metrics and domain-specific knowledge access, providing a unified interface for AI agents to interact with system monitoring tools and a knowledge base. It takes in queries and system status requests, outputting relevant information and answers, making it ideal for enterprise environments where AI-driven insights are crucial.

Canonical page: https://skillsregistry.net/skills/oalles-agentic-system-monitoring-rag  
JSON: https://api.skillsregistry.net/v1/skills/oalles-agentic-system-monitoring-rag

## Description

Agentic is a Spring Boot-based MCP server implementation that enables AI assistants to interact with system monitoring tools and retrieve information from a knowledge base. It consists of three main components: a monitor service that provides system status information, a RAG (Retrieval-Augmented Generation) service that answers questions using a vector database of corporate documentation, and an application agent that serves as the client interface. The implementation leverages Spring AI with Ollama for LLM integration and Redis for vector storage, making it particularly valuable for enterprise environments where AI assistants need access to both real-time system metrics and domain-specific knowledge.

## Trust

- **Trust score (0–1):** 0.91
- **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/oalles-agentic-system-monitoring-rag)
- **Repository:** <https://github.com/oalles/agentic>

## 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": "oalles-agentic-system-monitoring-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/oalles-agentic-system-monitoring-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/oalles-agentic-system-monitoring-rag/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