LYRAIOS is a multi-AI agent operating system based on the Model Context Protocol (MCP), aiming to extend AI application functions by connecting financial networks and public blockchain chains, providing services such as blockchain operations, fintech analysis, and educational learning.

This project is an educational implementation of an MCP server, demonstrating how to build an MCP server that can be integrated with multiple LLM clients. MCP is a standardized protocol for connecting AI models with different data sources and tools.

Gauntlet - Incept is a system for generating high - quality educational content for students in grades K - 8, providing customized generation, annotation, and scoring functions for articles and question banks, including REST API and MCP services.

An MCP server for checking domain name availability, using IONOS's unpublished API endpoints, for educational purposes only.

This is a custom MCP server project integrated with Microsoft education APIs, supporting functions such as managing courses, assignments, and grading through tools like Claude Desktop.

The GoHighLevel MCP server is a fundamental project aiming to connect the GoHighLevel community with AI automation through the Model Context Protocol (MCP). It provides access to all sub - account level GoHighLevel API endpoints, supports 269 tools, covering multiple functional categories such as contact management, messaging, sales pipelines, and calendar appointments. The project emphasizes community collaboration, an open architecture, and educational resources, while also reminding users to pay attention to key issues such as AI security, rate limits, and data security.

A medical content server designed specifically for Claude Desktop, integrating PubMed and NCBI resources, providing functions for searching, retrieving, and analyzing medical education content.

The LinkedIn data collection MCP server authenticates by manually entering the account password and uses Selenium browser automation technology to scrape the complete information of LinkedIn profiles, including work experience, education background, skills, and contact information.

This is a collection of MCP servers focused on the medical field, covering various medical - related MCP service implementations such as PubMed literature retrieval, access to medical preprints, FHIR data interaction, DICOM medical image processing, protein structure analysis, medical computing tools, and integration of medical education resources.

EasyChatDM is an educational project for creating simple MCP server tools, aiming to provide random decision - making tools for D&D games through generative AI.

The EduBase MCP Server is a Model Context Protocol service implemented for the EduBase education platform, allowing MCP clients and LLMs to interact with user accounts and perform tasks.

An experimental and educational Ping-Pong server that demonstrates remote MCP calls through FastAPI, supporting both API and SSE communication methods.

A multi - agent system laboratory project for educational purposes, simulating e - commerce and health consultation scenarios, demonstrating multi - agent collaboration, the use of the MCP protocol, and the integration of different LLM models.

This project demonstrates MCP poisoning attacks against AI workflows, including verification of multiple attack scenarios such as code generation pollution and financial data leakage, for educational research purposes.

ScreenPilot is a tool that enables LLMs to fully control the device through an MCP server. It provides a screen automation toolkit and supports functions such as screen capture and mouse and keyboard control. It is suitable for automation, education, and entertainment.

This project implements the MCP service for ZEN University's syllabus, allowing courses to be queried and recommended through tools such as Claude Desktop or VSCode.

This project demonstrates a security vulnerability that enables remote code execution and data theft through MCP tool poisoning. It includes the implementation of a malicious server and an explanation of the attack principle, aiming for educational research.

The Bitcoin SV MCP Server is an experimental Bitcoin SV toolkit that provides wallet, Ordinals, and blockchain interaction functions for the Model Context Protocol framework. This project is in the early development stage and includes a rich set of BSV tools, educational resources, and blockchain browser functions, supporting integration with various AI clients.

This project is an MCP toolkit for educational purposes, demonstrating social platform content analysis techniques and their security risks. It includes data extraction and analysis tools for Reddit and LinkedIn.

This is an unofficial implementation of the MCP file system server, demonstrating how to access the local file system through Claude Desktop as a proof of concept. The project allows multiple directory paths to be configured and strictly limits the access scope, and is only for educational and research purposes.

MCP Server MAS Sequential Thinking is a server environment project focused on enhancing the sequential thinking process, providing modular design, scalability, and multi-language support, suitable for education, research, and application development.

dank-mcp is a server based on the Model Context Protocol (MCP), specifically designed to answer questions about cannabis datasets. It stores and processes data through DuckDB, supports integration with LLM tools such as Claude Desktop, and provides a query service for cannabis product information for educational purposes.

Gauntlet-Incept is a system for generating high-quality educational content for K - 8 students, focusing on the personalized generation and evaluation of articles and question banks.

An educational proof-of-concept server for securely retrieving 1Password credentials and providing them to AI agents through the MCP protocol.

Educational data analysis demonstration project, showing how to use educational data through the MCP server

An MCP server that provides content search and access services for the Hyperskill educational platform

An MCP server that provides access to education data, integrates the Urban Institute Education Data API, and supports querying and analyzing education data through Claude.

A complete implementation of the StudentVue API, providing a Rust client library and an MCP server, supporting access to educational data such as student information, grades, attendance, and messages.

An experimental and educational Ping-Pong server that demonstrates remote MCP calls via FastAPI, supporting API endpoints and SSE communication.

The Canvas LMS MCP server is a bridge connecting an AI system and the Canvas Learning Management System, providing access to educational data such as courses, assignments, and quizzes.

DVMCP is an educational project that demonstrates security vulnerabilities by deliberately implementing a vulnerable Model Context Protocol (MCP). It contains 10 challenges of increasing difficulty to help learn about security issues in MCP implementations.

This project demonstrates an MCP server and client with security vulnerabilities for educational purposes, showing security risks such as SQL injection and arbitrary code execution.

This project provides a series of Model Context Protocol (MCP) servers for enhancing the external capabilities of AI assistants, including independent implementation modules for specific functions such as educational course queries.

GitHub template and configuration documentation, including various templates such as issue reports, feature requests, and educational improvements, as well as contribution guidelines and a code of conduct, aiming to maintain high-quality educational projects.

This project implements a Flask server integrated with EduChain, providing dynamic educational content generation functions for Claude Desktop through a REST API, including multiple-choice questions, lesson plans, and flashcards.

An MCP server implementation based on the POX SDN controller, providing network control and management functions, supporting Python network programming, OpenFlow device management, and automated network analysis, suitable for education, network prototyping, and SDN research.

A Python-based implementation of the Model Context Protocol server for educational purposes, demonstrating the core concepts and practices of MCP, supporting WebSocket communication and asynchronous processing.

AI Tutor is an AI tutoring system for higher education based on MCP client/server and multi-agent collaboration. It supports Claude and OpenAI models and provides a flexible server configuration method.

An AI - based educational platform for Quranic etymology exploration, offering etymology analysis, frequency patterns, and multilingual research functions, including complete project context, database schema, and automated workflows.

The OpenEdu MCP Server is a comprehensive educational resource protocol server that integrates multiple educational APIs (such as Open Library, Wikipedia, Dictionary, and arXiv). It provides intelligent search and grading filtering functions for books, articles, definitions, and research papers, and supports curriculum planning for K - 12 and college courses.