# AI integration

A Laravel Artisan command execution server based on the MCP protocol that allows securely managing local Laravel projects through an AI assistant.

A Node.js server that acts as an MCP layer to connect applications, Claude AI, and the IssueBadge API for sending badge certificates.

The PJE MCP Server is a service for integrating with the Brazilian Electronic Justice System (PJE), supporting A1 and A3 digital certificates, providing functions such as case management, judicial data query, and multi-court support, and achieving native AI integration with Claude Desktop.

A PDF reading tool that supports the MCP protocol, providing the read_pdf function through the MCP server to read PDF documents, suitable for MCP - supported AI tools such as Claude Desktop.

A lightweight server for executing PowerShell scripts and returning results, supporting AI assistant integration

A minimalist MCP server example based on Java and Spring Boot, which implements weather query functions by calling the Gaode Weather API and supports AI clients to obtain weather data 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.

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.

The MCP Web Search Tool is a server tool that provides real-time web search capabilities for AI assistants. It supports pluggable search engine integration and currently mainly uses the Brave Search API.

The Maya MCP Server project implements the Model Context Protocol (MCP), allowing AI assistants to control Autodesk Maya through natural language. This project features a lightweight design, does not require installing plugins in Maya, communicates via Maya's default MEL script port, and supports dynamically adding new tool functions.

The Specifai MCP Server is a model context protocol server used for integration and automation with AI tools that support the MCP protocol, providing a tool for reading documents generated by the Specifai project.

The MCP protocol enables standardized interaction between LLMs and the openGauss database, and builds an AI Agent application framework

A tool for getting and reading Trade Companion column articles on Substack, which needs to be used with Claude AI.

The MCP server for Azure Data Explorer provides a standardized interface for AI assistants to execute KQL queries and explore data. It supports database resource discovery, query execution, multiple authentication methods, and Docker containerization.

The Kubernetes MCP Server is a server based on the Model Context Protocol. It provides seamless integration with the Kubernetes API, supports interacting with Kubernetes clusters through natural language, and realizes functions such as resource query, monitoring, and operation.

A professional server that combines 3D cartoon image generation and file system management, providing high-quality 3D cartoon generation based on Gemini AI and secure file operation functions.

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.

An MCP server implementation based on Spring Boot and Spring AI, enabling AI agents to search and navigate files and folders in Microsoft OneDrive.

This project is a developer documentation about the Model Context Protocol (MCP) Server, which details how to build, run, and integrate the MCP Server to achieve a secure connection between AI models and real-time data, tools, and business logic.

An MCP server that enables interaction with the OneNote web version through browser automation, supporting AI assistants to programmatically operate shared notebooks.

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.

A WhatsApp voice message generation and sending service that combines Claude and ElevenLabs

The Browserbase MCP Server is an open - source project based on the Model Context Protocol (MCP), providing cloud browser automation services and supporting functions such as web page interaction, data extraction, and JavaScript execution.

MCP Server Semgrep is a server that complies with the Model Context Protocol standard, integrating the Semgrep static analysis tool with an AI assistant to provide code security analysis, quality improvement, and vulnerability detection functions. The project simplifies the architecture design, supports multi - platform operation, can be installed in multiple ways, and provides a rich set of code analysis functions.

This project is a Python tutorial practice on how to create an MCP server. You can add and manage the MCP server through the Claude command-line tool, and it supports testing and debugging of AI functions such as the ChromaDB vector database.

View Control MCP Server is a server that implements the Model Context Protocol (MCP), allowing AI assistants to control the mouse, keyboard operations, and screen capture of a local PC through the JSON - RPC 2.0 protocol. It supports integration with MCP clients such as Claude Desktop and Cursor.

The 302AI Custom MCP Server is a customizable multi - functional tool platform that supports flexible configuration of different API tools, is compatible with multiple clients, and provides a one - stop AI service solution.

A service that provides MCP protocol-compatible interfaces for Lightdash, enabling AI assistants to access Lightdash data in a standardized way.