# Cross - platform

This is a server based on the Model Context Protocol (MCP) for interacting with Audiense Demand accounts, providing tools for creating and analyzing demand reports, tracking entity performance, and obtaining cross - channel and cross - border insights.

Cursor MCP is a bridge tool connecting the Claude desktop application with the Cursor editor, supporting AI - driven automated programming, multi - window management, and cross - platform operations. It integrates with multiple AI services through a standardized protocol.

The MCP service project for Hugeicons provides icon integration tools and cross - platform documentation support, including functions such as icon search and platform usage guides.

The REAPER MCP Server is a project that exposes the functions of the REAPER Digital Audio Workstation through an API interface. It uses a Lua - Python hybrid architecture, supports file or socket communication methods, and provides 756 tools covering multiple areas of audio processing.

A server implementation based on the Model Context Protocol (MCP) for executing CMD commands and SSH connections on Windows and Linux systems, supporting the integration of command - line operations through MCP - compatible applications.

An NPX wrapper tool for the MarkItDown MCP service without Docker, providing the same functions as the official Docker version and simplifying the installation process

MCP Router is a free cross - platform application that can centrally manage multiple MCP servers, providing secure access control and log statistics functions.

A cross - platform desktop application developed for the omni AI MCP Server, supporting Android and iOS development

A server based on the MCP protocol for sending desktop notifications with sound effects when agent tasks are completed, supporting cross - platform operation.

This project is a Bluetooth device detection server based on the MCP protocol. It supports cross - platform scanning and identification of Bluetooth devices and provides an API interface for AI assistants to call.

hyper-mcp is a high-performance MCP server based on WebAssembly plugins, supporting plugin distribution through container registries and suitable for various AI application scenarios.

MCP Dockmaster is a cross - platform desktop application, CLI, and library for conveniently installing and managing MCP servers, supporting Mac, Windows, and Linux systems. The project uses a monorepo structure managed by NX and contains two core modules: the main application and the proxy server.

A professional serial communication MCP server that provides AI assistants with comprehensive serial communication capabilities, supports embedded systems, IoT devices, and hardware debugging, and has cross - platform support and multiple data format processing functions.

A modern iOS automation server based on FastMCP 2.0 and clean architecture, featuring modular design, cross - platform readiness, and cloud deployment capabilities.

SQL Server MCP is a cross - platform database integration tool designed for AI assistants, enabling them to explore and query SQL Server databases through natural language. It provides functions such as schema exploration, relationship mapping, and safe query execution, and supports Windows and macOS systems.

A Claude desktop alternative application developed based on Tauri + React + TypeScript, supporting the MCP server protocol

Cross - Platform File Search MCP Service

This project provides a server implementation based on the MCP protocol for the Flutter CLI, supporting the creation of Flutter projects for specified platforms or all platforms.

env - mcp is a cross - platform system information acquisition toolkit that supports obtaining detailed hardware, software, and network environment information through the MCP protocol.

DartMCP is a Model Context Protocol (MCP) implemented in the Dart language, providing server and client components for building interoperable AI tools and services.

A cross - platform tool that supports batch converting PNG/JPG images to WebP format, provides multi - threaded processing and various conversion options, and integrates the MCP protocol for easy use in AI development environments.

The Image Gen MCP Server is a general AI image generation service that provides cross - platform and multi - model image generation capabilities for various LLM chatbots through the Model Context Protocol (MCP) standard protocol. It supports multiple image models from OpenAI and Google, enabling seamless conversion from text conversations to visual content.

The Super Shell MCP Server is a cross - platform MCP protocol server for the secure execution and management of multi - platform Shell commands, providing a command whitelist and approval mechanism.

The MCP Manager GUI is a tool that simplifies MCP server management, providing a user - friendly interface, cross - platform support, real - time monitoring, and AI integration features.

The MCP Log Analysis Server provides cross - platform log reading, filtering, and pagination browsing functions to help debug the interaction issues between Claude and tools.

The Kiteworks MCP server is a cross - platform service that securely connects LLM applications to the Kiteworks enterprise file storage platform through the model context protocol. It provides file management, folder operation, and user information access functions, supports OAuth 2.0 authentication, and multiple operating systems.

An MCP server that supports cross - platform remote command execution, automatically handles differences between Windows and Unix systems, and provides a unified command execution interface.

The WordPress MCP Server interacts with the WordPress REST API through the JSON - RPC 2.0 protocol and supports cross - platform operation.

A post formatting service from Telegram to X, ensuring that the content meets the X platform's 220 - character limit, retaining key information and enhancing readability.

aica is an open - source, customizable, cross - platform AI code analysis tool that supports functions such as code review, automatic knowledge retrieval, and commit information generation, and can be integrated with GitHub Actions.