# Cross - platform

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

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 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.

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

This is an MCP server project that allows users to define AI sub - agents for specific tasks (such as code review, test writing) in Markdown files and execute them in any MCP - compatible tool through the Cursor, Claude Code, or Gemini CLI backends, realizing the reuse of AI sub - agent workflows across IDEs.

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.

A simple MCP server for sending desktop notifications, currently supporting the macOS system.

Tasker MCP integration guide, providing a complete process from installing dependencies to running the service, supporting connection to MCP applications through the CLI server and extending task functions.

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.

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

Second Opinion MCP is a multi - AI model consulting platform that allows users to instantly obtain second opinions from different AI models such as OpenAI, Gemini, Grok, Claude, HuggingFace, DeepSeek, and OpenRouter in Claude conversations, supporting functions such as code comparison, creative writing, problem - solving, and cross - model analysis.

Cross - Platform File Search MCP Service

MCP Terminal is a terminal control server designed for AI, providing a standardized interface for AI to execute terminal commands and obtain results.

The OpenAPITools SDK is a multi - AI platform tool management library that provides a unified interface to support the integration and execution of tools for models such as Claude, GPT, and LangChain, and supports both local and API usage modes.

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.

An MCP server that provides persistent Shell command execution capabilities, supporting cross - platform background command execution and session management.

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.

The Local MCP Client is a cross - platform web and API interface tool that interacts with configurable MCP servers through natural language, supports local LLM models and Ollama, and enables structured tool execution and dynamic proxy behavior.

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.

A Python - based MCP server installation tool for cross - platform installation and configuration of various MCP services, supporting multiple clients and local/remote installation methods.

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.

Snowfort Circuit MCP is a comprehensive Model Context Protocol server suite that provides web and Electron desktop application automation capabilities for AI coding agents, with features such as AI - optimized snapshots, intelligent screenshot compression, and multi - session management.

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.

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.

Flutter - skill is an AI - native end - to - end testing tool that allows AI agents to directly interact with running applications through the MCP protocol, supporting 10 platforms without writing test code.

AutoMem MCP is an MCP client tool that provides persistent memory for AI assistants. By connecting to the AutoMem graph - vector memory service, MCP - compatible AI platforms such as Claude, Cursor, and GitHub Copilot can remember users' decisions, coding styles, and preferences across sessions and devices, achieving perfect memory and personalized interaction.