Generate structured learning paths for programming libraries based on your experience level, providing progressive topics and resources for effective skill development.
Generate a structured learning path for any programming library based on your experience level. Ideal for beginners, intermediates, or advanced users to progressively master topics with curated resources.
Retrieve the operational mode for a specific subject in MCP Kafka Schema Reg. Useful for backward compatibility; consider using the 'subject://{name}/{context}/{subject}/mode' resource for improved performance.
Retrieve configuration settings for a specific Kafka Schema Registry subject. Supports backward compatibility with options to specify subject, context, and registry.
Manually initiate a learning cycle to analyze patterns, improve machine learning models, and enhance predictive capabilities within the MCP Self-Learning Server.
Change the mode for a specified subject in the Kafka Schema Registry to manage schema compatibility and updates effectively. Input requires subject and mode details.
Enables AI-driven job application automation for LinkedIn and SEEK platforms with intelligent cover letter generation, automated application submission, and application tracking management. Supports anti-detection measures and complies with platform usage policies for safe job hunting automation.
An MCP-compatible server that uses iFlytek's large language model to generate PowerPoint presentations, offering template selection, outline creation, and PPT generation with features like automatic image insertion.
A Model Context Protocol server that enables AI assistants like Claude to use Bouyomichan (a Japanese text-to-speech program) for voice reading with adjustable voice types, volume, speed, and pitch.