A versatile MCP server framework that enables AI capabilities like remote control, calculations, and email operations via multiple transport types. It supports stdio, SSE, and HTTP protocols for seamless integration between language models and external systems.
A communication pipe and tool suite that enables AI models to interact with external systems through mathematical calculations, remote control, and data processing. It supports multiple transport protocols including stdio, SSE, and HTTP for flexible and extensible tool integration.
A protocol implementation that extends AI capabilities by enabling language models to interact with external systems through remote control, notes, email operations, and knowledge search.
A Python framework that enables secure hardware control through the Model Context Protocol, allowing AI agents and automation systems to interact with physical devices across multiple platforms.
A comprehensive toolkit that enhances LLM capabilities through the Model Context Protocol, allowing LLMs to interact with external services including command-line operations, file management, Figma integration, and audio processing.
A generic Model Context Protocol framework for building AI-powered applications that provides standardized ways to create MCP servers and clients for integrating LLMs with support for Ollama and Supabase.
