Agentic (System Monitoring & RAG)
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/oalles/agentic
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Agentic (System Monitoring & RAG) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.