gxworks-agent
AI engineering agent for Mitsubishi GX Works2 with MCP support for PLC programming, project editing, validation, diagnostics, and external AI agents such as Codex.
Install / Use
claude mcp add Arienax -- npx -y github:Arienax/gxworks-agentIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AutomationSupported Platforms
Our assessment of gxworks-agent
gxworks-agent scores 76/100 on our quality scale, 2274th of 2,864 Automation skills we index.
Its MCP Server is 3.3 KB long, well organised into 8 sections with 1 code example: a solid amount of guidance for an agent.
It has 10 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated 2 days ago, so gxworks-agent is actively maintained.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 85/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-10-01. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
gxworks-agent compared with similar skills
All 4 of these similar skills score higher than gxworks-agent; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| gxworks-agent (this skill)by Arienax | 76 | 10 | 2d ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 87.2k | 16d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.2k | today | CLAUDE.md |
| rufloby ruvnet | 100 | 73.6k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.2k | today | CLAUDE.md |
Frequently asked questions
- How do I install gxworks-agent?
- Run
claude mcp add Arienax -- npx -y github:Arienax/gxworks-agent. The install tabs above show the steps for each supported agent. - Which AI agents does gxworks-agent work with?
- It is written for Claude Code, Claude Desktop and OpenAI Codex, as a MCP Server file. Other agents that read the same format can often use it too.
- Is gxworks-agent safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It declares no license and scores 85/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is gxworks-agent still maintained?
- The repository was last updated 2 days ago, so gxworks-agent is actively maintained.
Skill content
View source on GitHubGXWorks Agent
简体中文 | English
GXWorks Agent is a local engineering workbench for Mitsubishi PLC projects, focused on FX3U and GX Works2. It turns requirements into a reviewable specification, generates Ladder candidates, saves versioned PLC IR, and exports engineering artifacts. The Web workbench and external MCP clients use the same Python engineering services.
Use the workbench to analyse requirements, review I/O assignments, generate or edit a program, inspect changes, and export the artifacts recorded for that version. GX Works2 import, simulation and hardware observation have separate operating requirements; start with the Web guide.
Quick start
From source on Windows
Install Git with Git LFS, Python, and Node.js/npm. See environment setup for dependency files and troubleshooting.
git clone https://github.com/Arienax/gxworks-agent.git
cd gxworks-agent
git lfs install --local
git lfs pull
.\build-web.bat --no-pause
.\start-web.cmd
The build entry prepares the backend environment and frontend. The launcher asks for a workspace and opens the local workbench. Keep its terminal open while using the application; close the service with Ctrl+C.
Configure a model in Settings → Model → Model API, then create a project. Start with Direct analysis, review the specification and I/O, and generate a program. Your first project explains the complete sequence.
From a Web package
For a package containing start-web.cmd and GXWorks-Agent-Web.exe, extract the complete directory and run start-web.cmd. Keep the supplied resources beside the executable. Package installation and updates describes the directory layout and update procedure.
Connect an external agent
With a project open, use Settings → Model → Integrations / MCP. Follow MCP onboarding for the product launcher, Codex integration for client setup, or the MCP reference for explicit standalone and service configurations.
Documentation
The documentation index separates usage guides, implementation references, versioned test reports and historical work.
- Model settings and persistent data
- GX Works2 transfer and Structured Ladder / FBD
- Diagnostics and interaction exports
- Architecture and source navigation
- Knowledge resources and GXW research evidence
- Verification reports
Before operating machinery
Review generated logic against the selected CPU, wiring, motion limits and machine operating modes. Compile and check it in the intended GX Works2 environment before commissioning. Emergency stops, guarding and other safety functions require the machine's independent safety system; generated application logic and software tests do not replace it.
License
The project is provided under the source-available proprietary LICENSE. Keep the full license and third-party notices with permitted copies.
Related Skills
Agent-Reach
87.2kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
headroom
74.2kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
ruflo
73.6k🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
CowAgent
47.2kOpen-source personal AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install.
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
