# AI integration

A server that provides access to Google Classroom data for AI assistants such as Claude via 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.

The Clockify MCP service is a server integrated with AI tools for managing time records in Clockify. Users can record time entries by sending prompts to large - language models.

MCP Plexus is a Python framework based on FastMCP 2.7 for building secure and scalable multi-tenant MCP servers. It supports OAuth 2.1 integration and API key management, providing an isolated environment and tool access control for modern AI applications.

An intelligent query generation and documentation assistance server based on Claude AI, providing intelligent services by analyzing API documentation.

This project demonstrates how to integrate MCP support of Spring AI in a Spring Boot application, including geocoding and time zone query services, and provides geographic location information through LLM interaction.

Gossiphs is a zero-configuration, high-performance general code file relationship analysis tool that supports multiple programming languages. It is based on tree-sitter and git analysis, provides support for Python SDK and MCP protocol, and is convenient for integration with AI.

A service based on the Model Context Protocol (MCP) that provides AI assistants with the ability to access and analyze AWS CloudWatch logs, supporting log search, summary generation, and cross-service correlation.

MCP-Diagram is a server tool that quickly generates various types of diagrams (such as architecture diagrams, UML diagrams, etc.) from text descriptions. It supports integration with AI assistants like Claude.

MCPXcode is an open - source project that implements the Model Context Protocol (MCP) specification, providing a structured protocol between Xcode and AI assistants for context exchange and tool execution.

A C# client example for connecting to the x64Dbg MCP server. Configure the AI key and server IP through environment variables to execute automated debugging tasks.

Clo MCP is an integrated system that connects Clo3D with large language models, enabling AI-assisted fashion design and scene manipulation through the model context protocol.

The Allora MCP Server is an implementation based on the Model Context Protocol (MCP) that provides the function of obtaining machine learning inference data from the Allora network, enabling AI systems to seamlessly access Allora prediction market data.

The n8n MCP server is a service based on the Model Context Protocol that allows direct management of n8n workflows through AI agents, providing functions such as workflow listing, execution, and monitoring.

Votars MCP is a tool that supports multi - language implementation, used for integrating with the Votars AI platform to process voice transcription and AI tasks.

The ValTown MCP Server is a service designed for AI assistants, allowing code execution in the ValTown environment, supporting multiple platforms and being compatible with mainstream MCP clients.

OpenAPI-MCP is a proxy server that dynamically converts OpenAPI specifications into MCP tools, enabling AI agents to access external APIs without custom encapsulation.

Implementation of the Maya MCP server, an AI assistant tool for controlling Autodesk Maya through natural language

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers, including OAuth login functionality, and supports connection and tool invocation via the MCP inspector and the Claude desktop client.

WhatsApp Web MCP is a bridging project that connects WhatsApp Web with AI models. It provides a standardized interface through the Model Context Protocol (MCP) and supports automating and enhancing the WhatsApp interaction function.

A server that provides Steam game data through the MCP protocol

An MCP server based on Twilio that allows AI assistants like Claude to send SMS and MMS via Twilio, providing secure credential management and preset prompt functions.

This project implements a multi-component platform (MCP) server integrated with Gemini AI, supporting complex tasks such as mathematical operations, string processing, and Keynote integration through natural language commands.

DaVinci Resolve MCP Server is a Model Context Protocol server that connects AI programming assistants (such as Cursor, Claude Desktop) with DaVinci Resolve, supporting natural language queries and control of DaVinci Resolve.

The Windows Command Line MCP Server is a secure intermediary service that allows AI models to interact with the Windows system under strict security control, including functions such as executing commands, creating projects, and obtaining system information.

XTQuantAI is a server based on the MCP protocol that integrates the Xuntou Quantitative Platform with an AI assistant, enabling the AI to directly access and operate quantitative trading data.

A SharePoint integration project based on.NET, Graph API, and Semantic Kernel, which uses a modular architecture to enable an AI chatbot to securely access enterprise SharePoint data.

The MCP server of MetaTrader 5 enables interaction between AI assistants and the MT5 platform, supporting trading and market data analysis functions.

The Supabase MCP Server is a tool that connects Supabase projects with AI assistants. It standardizes the interaction between large language models (LLMs) and external services through the Model Context Protocol (MCP), enabling functions such as database management, configuration acquisition, and data querying.

This project provides the basic code for building the Teradata MCP Server, supports the development of custom tools, and includes functions such as environment setup, testing, integration with proxies, and exposure of REST endpoints.