Enables an AI assistant to author algorithm storyboards, workflow maps, and UI styling through MCP, serving a local web app for visualizing and reviewing them.
An MCP server for N8N that allows users to build, manage, and execute workflows through natural language, with 18 tools covering CRUD, execution, and intelligent workflow construction using templates, scaffolds, or LLM-based generation.
An MCP server that turns deployed n8n workflows into callable tools for AI agents, enabling discovery and execution of tagged workflows via a standard interface without rewriting integrations.
MCP server providing access to n8n documentation and workflow templates, enabling LLM agents to search, read, and retrieve workflow examples for automated workflow creation.
Manages workflows, executions, and folders on a self-hosted n8n instance through its public REST API, enabling MCP clients to create, update, activate, list, and trigger workflows via natural language.
Enforces disciplined programming practices by requiring AI assistants to audit their work and produce verified outputs at each phase of development, following structured workflows for refactoring, feature development, and testing.
Enables AI-powered browser automation controlled through natural language, integrating Playwright with the Model Context Protocol to perform web interactions like navigation, form filling, and screenshots.
Enables AI-driven testing and automation of Tauri desktop applications through natural language, allowing users to interact with UI elements, capture screenshots, execute commands, and test application flows without manual clicking or complex scripts.
A local MCP server that exposes macOS automation actions (AppleScript + CLIs) as tools, enabling MCP clients on your Mac to control apps, system settings, and more.
Enables macOS automation through 45 AppleScript-powered tools for system control, app management, calendar, reminders, notifications, clipboard, and task scheduling.
Enables AI assistants to evaluate business processes for automation by collecting discovery answers, calculating labor costs, scoring automation potential, and saving completed audits to a local SQLite database.