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Enables AI agents to interact with Canvas LMS for querying courses and resources.
Provides expert guidance for Dojo and Cairo development on Starknet.
Enables AI assistants to securely search and reference content stored within Kibela.
Retrieves citation data in BibTeX format from CiteAs and Google Scholar.
Explore, experiment, and apply Generative AI concepts and tools in practical, everyday scenarios.
Provides programmatic access to the Marimo documentation.
Generates comprehensive capability reports for Model Context Protocol servers.
Provides a Model Context Protocol (MCP) server for accessing and searching content stored in ZIM files.
Transforms Bilibili video content into structured notes, provides intelligent Q&A, and transcribes audio.
Provides an experimental F# development toolkit offering interactive FSI capabilities, comprehensive code documentation, and safe code manipulation through the Model Context Protocol.
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.
Reduces medical hallucinations and enhances clinical accuracy in radiology multimodal large language models.
Enables offline search and retrieval of Wikipedia articles after a one-time data download.
Indexes and searches local project documentation efficiently for coding assistants and development tools.
Provides professional medical answers through an AI-powered smart chat assistant, leveraging large language models, RAG, and custom knowledge bases.
Empowers AI assistants to leverage local Go module cache for understanding GoLang third-party packages without API limits or costs.
Provides AI assistants with a curated database of Apple App Store rejection reasons, solutions, and real-world cases.
Prepares users for the Claude Certified Architect exam with 390 questions, spaced repetition, and zero sycophancy.
Provides AI coding agents with persistent, searchable memory of your codebase, significantly reducing token usage and response times.
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