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.

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.

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.

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.

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.

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

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.

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.

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.

Titanic AI Analysis is an educational project that demonstrates how to create a server through the MCP protocol to expose the Titanic dataset to language models such as Claude for analysis. The project includes data resources and tools, supporting complex queries and statistical analysis.

MCP Sigmund is a financial data analysis and learning tool based on a PostgreSQL database. It provides intelligent formatted financial data query services for AI assistants through the Model Context Protocol and is only for educational purposes.

RealVest's MCP Server provides 31 professional real estate investment calculators and educational resources, enabling AI assistants to directly access professional - level real estate analysis functions. It is suitable for integration into AI assistants such as Claude.