A set of rules for writing algorithm code that can later be checked automatically and packaged as MCP services, which let AI tools call specific functions. It covers function structure, type annotations, documentation, dependencies, and basic code quality.
A set of rules and templates for packaging a Python MCP service in Docker. Docker packages an application and its dependencies into a repeatable container that can run on another machine.
Domain guidance for monitoring unmanned aircraft, covering the combined picture of airspace activity and alerts tied to time, location, and sensor sources.
Guidance for monitoring cross-border payments for money laundering and sanctions risks. It explains terms such as suspicious transactions and watchlists, which can include sanctioned people or politically exposed persons.
Domain guidance for low-altitude electric aircraft, known as eVTOL aircraft, including approved routes, capacity, speed, height, and collision handling.
Reference guidance for coordinating several connected services into one application-level workflow. It covers stable interfaces, data passed between services, call order, retries, and logging.
A set of rules and a Python structure for wrapping a service so AI clients can call its tools through MCP, an open protocol for connecting models to external tools. It uses server-sent events over HTTP for communication.
Technical guidance for recognizing human actions in video without training a new machine-learning model or using an LLM. It describes a pipeline that samples video frames, estimates body poses, measures movement, and assigns labels with rules.