Arcanna MCP Server

Example Use Cases

• 1

  Manage Arcanna resources (create, update, retrieve or delete jobs and integrations) programmatically via MCP.

• 2

  Query and filter events processed by Arcanna to monitor ingestion, outcomes, and model decisions.

• 3

  Generate, execute, and save Python code blocks as Arcanna integrations and to control job lifecycle (start/stop/train) and health checks.

Description

The Arcanna MCP Server lets MCP-compatible clients interact with Arcanna's AI platform to manage resources (jobs, integrations), ingest and query events, generate and execute Python code, and provide feedback for model training. It ships as a Docker image or PyPI package and integrates with MCP clients via a configurable mcpServers entry. The server also offers job lifecycle controls (start/stop/train) and health checks for API key and service status, streamlining automation and agent workflows that rely on Arcanna.