Canvas MCP is a set of tools that enables AI agents to interact with Canvas LMS and Gradescope, providing functions such as course resource query and assignment management.

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 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.

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.

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.

This is an educational MCP server implementation based on the Go language and the Echo framework, providing the function of accessing the local file system through the MCP protocol, including tools and resources for file listing, reading, and writing.

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 Server and Tools is a project for building agents and complex workflows based on large language models (LLMs). It integrates with real - time data and tools through the Educhain library and supports the generation of educational content such as multiple - choice questions, lesson plans, and flashcards.

A demonstration server for the minimum implementation of the MCP protocol for sports data and betting tools based on Cloudbet's public API, used for educational and demonstration purposes.