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by siscale • Analytics & Monitoring
An MCP server that lets MCP clients (like Claude Desktop) interact with Arcanna's external-input AI jobs for event-driven decisioning, job management, and feedback.
Submit runtime events to an external decisioning system and receive AI-powered decisions in response.
Create, manage, and inspect external input jobs (start/stop/train) and monitor processing metrics.
Provide feedback on decisions to improve model accuracy and verify API key/health status before use.
This MCP server provides endpoints and tooling to create, retrieve, start, stop, and train external input jobs on Arcanna, submit events for AI decision-making, and send feedback to improve models. It supports integration via Docker or a PyPI package and is intended to be run as an MCP server for clients such as Claude Desktop. The server also includes health checks to validate API key status and basic monitoring of job processing metrics.
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