Show HN: Senzii – open-source staff scheduling with a native MCP interface (github.com)

Senzii, an innovative open-source staff scheduling platform, has launched with a robust interface geared for AI agents, enabling seamless integration with compatible clients like Claude and ChatGPT. Built on the Apache-2.0 license, Senzii offers a comprehensive suite of 28 tools that manage the scheduling workflow, including skills matching, shift assignments with conflict detection, and client requests. Its MCP (Mission Control Protocol) server is designed specifically for the scheduling engine, facilitating secure and efficient organizational operations by scoping access to authenticated users only. Significantly, Senzii addresses the needs of regulated industries by ensuring that scheduling proposals require human confirmation before implementation, enhancing safety in sensitive environments. It employs FastAPI for its web framework and uses PostgreSQL with asyncpg for its database management, ensuring high performance. Additionally, features like geocoding through free public endpoints and optional email notifications via the Resend API enrich its functionality. This project not only democratizes access to sophisticated scheduling technologies but also sets a new standard for integrating AI in operational workflows, appealing to developers and organizations looking to streamline their staffing processes.