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Japan Operations OS for AI agents — 14 knowledge domains covering regulations, protocols, calendar, travel, food culture, language, disaster safety, daily life, and persistent memory. 31 MCP tools via REST + Streamable HTTP.

A Model Context Protocol server that integrates with Microsoft's Edit tool, allowing AI systems to perform file operations from simple reads/writes to complex code editing and refactoring.

Edit MCP

An ed(1)-inspired MCP server that provides a single-character command protocol for managing Git repositories, GitHub actions, and Fravia web searches. It is optimized to minimize LLM token usage while performing version control and search tasks through concise POSIX shell scripts.

Enables AI models to access external services including weather data, file system operations, and SQLite database interactions through a standardized JSON-RPC interface. Features production-ready architecture with security, rate limiting, and comprehensive error handling.

Edonyzpc MCP

Personal MCP Server for LLM

Exposes the full Ed Discussion API to MCP clients, enabling users to manage threads, comments, and course activity through natural language. It provides comprehensive tools for searching and posting content, featuring automatic conversion from markdown to Ed's internal XML format.

Provides AI-powered educational tools for teachers including lesson planning, quiz creation, student progress analysis, learning path recommendations, and rubric generation. Enables educators to automate administrative tasks and personalize learning experiences through natural language interactions.

Transforms documentation repositories into interactive educational content and provides standardized access to AI-generated structured courses through MCP protocol. Generates multi-complexity learning paths from docs and enables AI tutoring applications to interact with course content.

Enables AI-powered generation of educational content including multiple-choice questions, lesson plans, and flashcards on any topic through integration with the EduChain library and DeepSeek model via OpenRouter.

An MCP-compatible Flask server that integrates with the educhain Python library to dynamically generate educational content for Claude Desktop, including multiple-choice questions, lesson plans, and flashcards.

Enables the generation of educational content such as multiple choice questions, lesson plans, and flashcards by connecting local Ollama models to Claude. It leverages the Educhain library to provide structured AI-powered learning tools through the Model Context Protocol.

Integrates the EduChain library with Claude Desktop to generate educational content such as multiple-choice questions, lesson plans, and flashcards. It utilizes Gemini LLMs through LangChain to provide local and secure content generation tools.

Integrates EduChain's educational content generation capabilities with Claude Desktop, enabling creation of multiple-choice questions, comprehensive lesson plans, and flashcards for any educational topic.

An MCP server that exposes Eduframe resources as tools, allowing users to manage lead records through the Eduframe API. It enables listing, creating, updating, and deleting leads using natural language commands.

Converts eFax documents (PDF, TIFF, CCD XML) from OpenText Fax Server Software into structured JSON format with OCR support, metadata extraction, and batch processing capabilities.

MCP server for generating and editing images using EFLOWCODE's Responses API. Supports text-to-image, image editing, batch editing, and multi-reference synthesis for MCP clients like Codex and Claude.

Egeokt MCP

MCP server that allows you to get the latest documentation

Local stdio MCP server for searching Japanese laws and retrieving article text from e-Gov Law Search. Includes related-law lookup for enforcement orders and regulations, with source attribution baked into every tool result.

Enables intelligent search and retrieval of Japanese legal statutes through the e-Gov API. Supports smart lookup of laws and articles with abbreviation recognition, batch processing, and multi-tier caching for high-performance legal research.