"Lua" matching MCP servers:

Provides a workspace-safe, read-only bridge between browser-based AI planning/review and local coding agents, enabling structured plan, execution summary, and review handoffs without granting shell, file write, or Git push access.

Enables AI agents to operate Windows computers with parallel, human-like input streams, including held keys, concurrent mouse/keyboard actions, UIA/OCR targeting, and a knowledge base for engineering software.

A Model Context Protocol server gateway that reduces context bloat through progressive tool discovery and Lua-based tool chaining, while centralizing multiple MCP servers into a single endpoint.

MCP server that executes Blueprint workflows (flow.ir) with swarm operations, dispatching agent steps to backends like Lua, Rust, processes, or interactive Operator sessions.

Enables safe model management via leases for luaLLM, allowing users to acquire, release, and manage model instances through MCP tools.

Enables autonomous desktop automation by delegating tasks to vision-based agents operating within cloud-based virtual machine sandboxes. It allows users to manage VMs, execute complex computer tasks, and receive text-based screen summaries across Linux, Windows, and macOS environments.

An MCP server that enables a supervising OpenAI Codex agent to delegate bounded implementation tasks to isolated worker threads with enforced file scopes and verification, optionally running in parallel git worktrees.

Enables local-first model routing and persistent tool library management, allowing automated workflow detection and conversion of stable patterns into reusable tools.

Enables deployment of MCP servers on Cloudflare Workers without authentication requirements. Allows connection from both web-based AI playgrounds and desktop clients like Claude through a remote proxy.