Connect AI coding tools to LogClaw incidents, logs, and anomaly detections.
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Logclaw MCP Server is an MCP server that connect AI coding tools to LogClaw incidents, logs, and anomaly detections. Its tool list has not been published yet over stdio and http, requires no API key, and scores 79/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-robeldev-logclaw-mcp-server": {
"args": [
"-y",
"logclaw-mcp-server"
],
"command": "npx"
}
}
}Are you the author?
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AI SRE that deploys in your VPC. Real-time anomaly detection, trace-correlated incident tickets, and AI root cause analysis — your logs never leave your infrastructure.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'logclaw-mcp-server' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
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AI SRE that deploys in your VPC. Real-time anomaly detection, trace-correlated incident tickets, and AI root cause analysis — your logs never leave your infrastructure.
Try the full experience instantly at console.logclaw.ai — includes AI root cause analysis, API key management, multi-tenant isolation, and the complete incident pipeline. No Docker required.
curl -O https://raw.githubusercontent.com/logclaw/logclaw/main/docker-compose.yml
curl -O https://raw.githubusercontent.com/logclaw/logclaw/main/otel-collector-config.yaml
docker compose up -d
Open http://localhost:3000 — the LogClaw stack is running:
:3000) — incidents, log ingestion, config:4317 gRPC, :4318 HTTP) — send logs via OTLP:8080) — anomaly detection + trace correlation:18081) — AI-powered incident management:9200) — log storage + search:9092) — event busAll images are pulled from ghcr.io/logclaw/ — no registry auth required.
Note: The local stack runs in single-tenant mode with LLM-powered root cause analysis disabled. For AI RCA, API key management, and multi-tenant isolation, use the managed cloud or deploy to Kubernetes with
LLM_PROVIDER=claude|openai|ollama.
git clone https://github.com/logclaw/logclaw.git && cd logclaw
./scripts/setup-dev.sh
This creates a Kind cluster, installs all operators and services, builds the dashboard, and runs a smoke test. Takes ~20 minutes on a 16 GB laptop.
All LogClaw images are published to GHCR as public packages:
| Service | Image | Latest Stable |
|---|---|---|
| Dashboard | ghcr.io/logclaw/logclaw-dashboard | stable / 2.5.0 |
| Bridge | ghcr.io/logclaw/logclaw-bridge | stable / 1.3.0 |
| Ticketing Agent | ghcr.io/logclaw/logclaw-ticketing-agent | stable / 1.5.0 |
| Flink Jobs | ghcr.io/logclaw/logclaw-flink-jobs | stable / 0.1.1 |
Pull any image directly:
docker pull ghcr.io/logclaw/logclaw-dashboard:stable
| Incident Management | AI Root Cause Analysis |
![]() | ![]() |
| Log Ingestion | Dashboard Overview |
![]() | ![]() |
Live demo: console.logclaw.ai | Video walkthrough: logclaw.ai
| Capability | Open Source (free) | Cloud ($0.30/GB) | Enterprise (custom) |
|---|---|---|---|
| Log Ingestion (OTLP) | Unlimited |