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Provides prompts for retrieving Confluence page content to be used as context with AI assistants.
Enables AI assistants to interact with Confluence content through a standardized interface.
Accesses protein function and sequence information directly from UniProt.
Provides example code for understanding and implementing the Model Context Protocol (MCP).
Enables users to enjoy the lateral thinking game 'Haiguitang' (also known as Situation Puzzles) alone by utilizing a large language model as the game master.
Connects a Readwise Reader library to Large Language Models via the Model Context Protocol.
Provides programmatic access to the Marimo documentation.
Exposes Cloudbet's public API for sports data and betting tools via a minimal Model Context Protocol server.
Empower AI agents with deep, real-time context about your project, including coding standards, knowledge base, todos, and database schema.
Provides a comprehensive database of Next.js documentation URLs to AI agents for intelligent document selection.
Provides enhanced intelligent search capabilities across 14 diverse online platforms, tailored for integration with AI assistants like Claude Code.
Provides comprehensive access to Canvas LMS functionality for AI assistants via the Model Context Protocol.
Provides professional medical answers through an AI-powered smart chat assistant, leveraging large language models, RAG, and custom knowledge bases.
Provides FIRST Robotics Competition teams with an AI-powered search assistant to quickly find answers across extensive FRC documentation using natural language queries.
Transforms 24 best-practice product management skills and workflows into programmatically accessible tools for AI assistants via Model Context Protocol.
Empowers AI assistants to leverage local Go module cache for understanding GoLang third-party packages without API limits or costs.
Provides AI tools with programmatic access to Fumadocs documentation for enhanced integration and support.
Integrates extensive UX best practices, analysis tools, and workflow prompts into AI development environments via the Model Context Protocol.
Enables portable, version-controlled, and machine-actionable storage of review comments separate from Markdown files.
Establishes a collective memory network for AI agents, enabling them to share and learn from accumulated wisdom across various modalities.
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