LogClaw is an AI-driven site reliability engineering tool that provides real-time anomaly detection, trace-correlated incident tickets, and AI root cause analysis, all while keeping logs within your infrastructure.
From the registry: Connect AI coding tools to LogClaw incidents, logs, and anomaly detections.

Please install the `logclaw-mcp-server` MCP server into my current AI client (that's you).
Canonical MCP server config (stdio transport):
- command: `npx`
- args: ["logclaw-mcp-server"]
Note: Config shape inferred from CLI install commands; README had no explicit MCP client JSON config.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.LLM_PROVIDERrequiredSpecifies the provider for AI root cause analysis (e.g., Claude, OpenAI, Ollama).Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Validate oh-my-posh configurations and segment snippets against the official schema.
Real-time Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS.