A collection of Apple-native tools for the Model Context Protocol (MCP), enabling integration with AppleScript and related macOS capabilities.↗

boltmcp is an MCP server implementation for agentic AI/LLM workflows, providing a set of MCP capabilities (skills) via a Shell-based setup.↗

A personal Model Context Protocol (MCP) server implemented in TypeScript.↗

A TypeScript boilerplate for building a remote Cloudflare MCP server with user authentication and Stripe integration for paid tools.↗

A TypeScript project intended to bridge MCP (Model Context Protocol) with a UI layer, enabling integration between MCP services and user interfaces.↗

twitter-mcp is a TypeScript-based MCP integration for accessing Twitter functionality via the MCP protocol.↗

Universal Memory MCP that exposes Supermemory to any LLM via the MCP protocol, enabling access to your memories without logins or paywalls. Includes a one-command setup and is built with TypeScript.↗

A Python MCP server that unifies Claude Code, GeminiCLI, and CodexCLI-style workflows with multiple model providers (e.g., Gemini, OpenAI, OpenRouter, Azure, Grok, Ollama, and custom models).↗

WebMCP provides a Web-based implementation of MCP (Model Context Protocol), enabling MCP-style integrations in the browser.↗

Provides an agent harness performance optimization system for Claude Code and related coding agents, focusing on skills, instincts, memory, security, and research-first development.↗

Token-efficient MCP adapter for the Pi coding agent, enabling integration with Model Context Protocol (MCP) workflows. Built in TypeScript to support LLM-based coding agents.↗

pi-cursor-sdk lets you run Cursor models inside the pi coding agent using local Cursor SDK agents. It supports native model selection, thinking controls, fast/plan modes, image input, and MCP-bridged pi tools.↗

A local Codex MCP server that scans repositories and generates tldraw product workflow diagrams using TypeScript.↗

Peekaboo is a macOS Swift CLI (with an optional MCP server) that lets AI agents capture screenshots of apps or the entire system, with optional visual question answering via local or remote AI models.↗