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Provides an Anki note storage system and summarization prompts for use with MCP.
Demonstrates a Model Context Protocol (MCP) server implementation using streamable HTTP transport with the FastMCP framework.
Quickly browse local Python API documentation and symbols for enhanced development workflows and LLM assistance.
Assists AI coding clients like Claude Code and Gemini CLI with accurate Pine Script v6 programming by providing quick access to its reference manual.
Enables LLMs to interact with and manage Obsidian vaults through the Model Context Protocol.
Enhances digital reading with AI insights, transforming books into interactive learning experiences for students, researchers, and avid readers.
Provides PyTorch AI/ML examples for Modal Context Protocol (MCP), Agent-to-Agent (A2A), RAG, and vLLM workflows, enabling reproducible and scalable pipelines for research and deployment.
Automates the generation of Anki flashcards from Notion pages, converting toggle blocks into structured cards using AI and real-time import via AnkiConnect.
Enables ChatGPT Desktop to store, search, and manage conversation history and documents locally.
Delivers a self-evolving AI intelligent service hub specifically designed for university campuses, integrating RAGFlow, LLM, and MCP tool calling.
Answers frequently asked questions about LPDP scholarship disbursement by leveraging Retrieval Augmented Generation.
Automates the documentation of GitHub projects as blog posts by serving a Model Context Protocol (MCP) endpoint.
Previews Mermaid diagrams while providing syntax error handling and GitHub repository visualization.
Integrates Overleaf projects with compatible AI clients, providing access to documents and resources.
Provides OpenFeature SDK installation prompts and guidance to AI clients through the Model Context Protocol (MCP).
Enable AI assistants like Claude to access TwitterAPI.io documentation instantly and offline.
Serves markdown documents from a local directory, providing a simple interface for managing and accessing them using the Model Context Protocol (MCP).
Empower LLM agents with direct, intelligent access to enterprise documents through a local, recursive language model knowledge base.
Demonstrates a simple MCP server built with FastMCP, emphasizing modern Python environment and package management.
Provides instant access to comprehensive development knowledge, examples, and patterns for mastering the Model Context Protocol.
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