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.
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.
A portable, stdio-based MCP server that exposes curated read operations across Microsoft Graph, Power BI, and Dataverse, plus an optional create-only Gemba action tool, using explicit Entra identities and read-only defaults. It lets teams run enterprise engineering workflow steps—discovery, draft preparation, and reviewed progress tracking—with separately approved, permission-scoped connectors and no automatic tenant access.
Enables Claude Code to drive a local cockpit UI through task validation, planning, coding, pre-review, and publishing, using waiting tools that return when the user clicks or speaks.
Enables MCP clients to turn Make blueprints and Zapier exports into n8n workflow files, with a per-step report of what converted, what to review, and what must be finished by hand. Also lists zaps, explains how individual steps are handled, checks workflow files for broken links or placeholders, and can upload the result to an n8n instance as an inactive workflow.
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.
Enables AI agents to search and read source-grounded entries about Minecraft farms and contraptions, including inputs, outputs, labor steps, version applicability, and verification records. It provides two read-only tools and runs offline without accessing a game or executing builds.
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.
Lets AI agents read, create, and update n8n workflows with a guarded two-phase plan-and-apply flow that backs up every change, refuses writes when the live workflow has moved, and verifies results by readback. Also supports rehearsing changes on trigger- and outbound-disabled test clones, so mutations to a live instance stay reviewable and reversible.
Enables opencode clients to delegate a software-engineering task to a brigade of parallel subagents that split a DAG, implement in isolated shadow copies, machine-verify artifacts, pass review gates, and summarize results. It exposes asynchronous run, status, list, stop, and template tools for large refactors, batch fixes, and multi-option comparisons.
Windows desktop automation MCP server enabling screenshot capture, precise visual locating of UI elements via vision models, and automated mouse clicking.
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.
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.
Lints n8n workflow exports and returns machine-readable findings with per-rule fixes, helping agents and reviewers catch reliability gaps such as missing error workflows, retries that swallow errors, unauthenticated webhooks, and hardcoded secrets without sending data anywhere.
Enables AI agents to create private GitHub issues for decisions, send email alerts, wait for human comments, and parse replies so work can resume. Supports guided setup and MCP integration without requiring separate AI API keys or an always-on cloud server.
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.