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.
Enables deterministic, resumable workflow automation through DAG step graphs, boolean gate branching, automatic parallel execution, and in-step agent loops with sandboxed file and command tools.
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.
Enables AI agents to operate the Unreal Editor via MCP: reading, creating, and editing blueprints at the node level, authoring materials and UMG widgets, auditing projects, and verifying runtime behavior in PIE with read-back checks.
Windows desktop automation MCP server enabling screenshot capture, precise visual locating of UI elements via vision models, and automated mouse clicking.
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-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 Cursor users to track local workflow state and receive contextual nudges, daily summaries, and Windows toast notifications for sessions, edits, MCP usage, and plans.
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.