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Provides intelligent recommendations for other Model Context Protocol (MCP) servers tailored to specific development requirements.
Enables remote execution of shell commands and access to documentation via a Model Context Protocol server.
Provides a robust backend for AI agents, delivering custom instruction files and executable scripts.
Facilitates searching and accessing programming resources across multiple developer platforms for LLMs.
Organizes and provides searchable access to project documentation stored in local markdown files.
Automates screenshot capture and user manual generation for web applications using configurable workflows.
Generates short personalized greeting messages through a minimal Model Context Protocol (MCP) server.
Streamlines software development workflows through AI-assisted analysis, planning, and verification.
Empowers AI coding agents to access and leverage your personal historical documents for intelligent template generation and pattern recognition.
Transforms dispersed documents into a unified, searchable knowledge base.
Answers computer science questions, summarizes research papers, and visualizes concepts by leveraging the arXiv dataset.
Provides a hands-on Python guide for understanding the Model Context Protocol, which standardizes how AI models and agents interact with their operational context.
Facilitates programmatic interaction with a local Anki desktop application for efficient flashcard review and creation.
Enables Large Language Models to interact with Moodle's REST API through a Model Context Protocol server.
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