Falcosidekick UI MCP Server

Falcosidekick UI MCP Server

Enables querying and analyzing Falco security events from Falcosidekick UI through MCP tools. Supports filtering events by time windows and retrieving full event details for security monitoring and incident investigation.

Category
访问服务器

README

Falcosidekick UI MCP Server

This folder contains a lightweight Model Context Protocol (MCP) server that exposes the Falcosidekick UI /api/v1/events/search endpoint as a tool. The server uses HTTP Basic Auth (default admin:admin) and runs in streamable HTTP mode so MCP clients can connect over plain HTTP.

Layout

  • falco_mcp_server.py – FastMCP implementation exposing Falco events over Falcosidekick UI API via two tools
  • requirements.txt – Python dependencies (mcp, httpx, boto3)
  • Dockerfile – Container image that launches the server on port 8080
  • k8s/ – Deployment and Service manifests to run the server in Kubernetes

Environment variables

Variable Default Description
FALCO_BASE_URL http://localhost:8080 Falcosidekick UI base URL
FALCO_EVENTS_PATH /api/v1/events/search Override the events endpoint path if needed
FALCO_USERNAME / FALCO_PASSWORD admin / admin Basic Auth credentials
FALCO_HTTP_TIMEOUT 15 HTTP timeout in seconds
PORT 8080 MCP HTTP listener port
MCP_HTTP_PATH /mcp Streamable HTTP mount path
MCP_TRANSPORT streamable-http Set to stdio if your MCP client expects stdio transport

Available tools

Tool Description
query_falco_events Returns Falco events with normalized output_fields. Syscall, k8s_audit, and aws_cloudtrail sources keep only their most useful fields (container/process info, Kubernetes target metadata, CloudTrail principals). All events always retain uuid, time, priority, rule, source, description, and hostname. Syscall proc.cmdline values are truncated to ~120 chars to limit token usage. Use start_time / end_time for temporal windows instead of embedding time comparisons inside filter_query.
falco_full_event_by_id Fetches the raw Falco event for a single uuid. It builds a UUID filter and leaves the response untouched so you can inspect every original field.

When calling either tool you can pass start_time / end_time arguments. Provide timestamps in ISO 8601 UTC form (e.g. 2025-11-24T03:59:59.848208Z). The server converts them to timezone-aware datetimes internally and removes any events that fall outside that window, while still sending since=1M upstream to keep the search bounded.

Local run

cd falco-mcp
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
python3 falco_mcp_server.py

Then configure your MCP client with:

{
  "mcpServers": {
    "falco-events": {
      "type": "http",
      "url": "http://localhost:8080/mcp"
    }
  }
}

Docker

cd falco-mcp
docker build -t falco-mcp .
docker run -p 8080:8080 \
  -e FALCO_BASE_URL=http://falcosidekick-ui.default.svc.cluster.local:2802 \
  -e FALCO_USERNAME=admin \
  -e FALCO_PASSWORD=admin \
  falco-mcp

Kubernetes

The provided manifests assume the Falcosidekick UI is exposed as http://falcosidekick-ui:2802 and that the admin credentials remain admin:admin (see k8s/falco-mcp-deployment.yaml). If your environment uses different credentials or a different service name, edit the env vars before deploying.

kubectl apply -f k8s/falco-mcp-deployment.yaml
kubectl apply -f k8s/falco-mcp-service.yaml

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