Documentation Index
Fetch the complete documentation index at: https://docs.calseta.com/llms.txt
Use this file to discover all available pages before exploring further.
Calseta is under active development. APIs and features may change. We welcome feedback and contributions on GitHub.
Run Calseta locally
Calseta runs as a single stack: FastAPI server, MCP server, and PostgreSQL. Start everything with one command:| Service | Port | Description |
|---|---|---|
| FastAPI server | 8000 | REST API for alerts, incidents, enrichment, and more |
| MCP server | 8001 | Model Context Protocol server for AI agents |
| PostgreSQL | 5432 | Primary store and task queue |
Next steps
How It Works
Understand the five-step pipeline: ingest, normalize, enrich, contextualize, and dispatch.
Authentication
Create API keys and authenticate your requests.
Alert Sources
Connect Microsoft Sentinel, Elastic, Splunk, or a generic webhook.
MCP Setup
Connect your AI agent to Calseta via the MCP server.