luckycat133/traecnclaw-mcp-skill — explained in plain English
Analysis updated 2026-05-18
Install the TRAECNclaw MCP server into Claude Desktop, Cursor, or another compatible AI client.
Connect an AI coding assistant to the TRAECNclaw server using a one click Glama installer.
Run the server temporarily with npx without a permanent global install.
Copy the packaged Skill files into a local Codex configuration folder by hand.
| luckycat133/traecnclaw-mcp-skill | 00kaku/gallery-slider-block | 3rd-eden/ircb.io | |
|---|---|---|---|
| Stars | 0 | — | — |
| Language | JavaScript | JavaScript | JavaScript |
| Last pushed | — | 2021-05-19 | 2016-11-16 |
| Maintenance | — | Dormant | Dormant |
| Setup difficulty | easy | easy | easy |
| Complexity | 2/5 | 2/5 | 2/5 |
| Audience | developer | general | developer |
Figures from each repo's GitHub metadata at analysis time.
This repo only mirrors a distribution package, actual server behavior comes from a separate private source project.
This repository is a public distribution copy of something called TRAECNclaw, which is a tool that AI coding assistants can connect to using the Model Context Protocol, or MCP. MCP is a standard way for tools like Claude Desktop, Cursor, or GitHub Copilot to talk to outside servers and gain new abilities. This particular repository does not hold the original working code. It only holds a generated, publicly shareable copy of one small piece called a Skill, along with installation instructions and version tracking information. The real source code lives in a different, private repository, and this one is automatically kept in sync with it. The README is mostly a set of installation instructions rather than a description of what the tool actually does when running, since that detail lives in the private source project. It lists five different ways someone could install and connect the server: through a one click installer called Glama, through npm as a global command line install, through npx without installing anything permanently, through an official MCP registry that compatible clients can browse automatically, or through a service called Smithery aimed at coding assistants such as Cursor, Codex, and GitHub Copilot. Once installed, a user configures their AI client with a small JSON snippet pointing at the server, including optional settings for host, port, and an access token, with a note to keep the connection local unless remote access is intentionally wanted. There is also a manual option to copy the Skill files directly into a local Codex configuration folder from a cloned copy of this repository. The project is licensed under MIT, and as of now it has no GitHub stars.
A publicly distributed installer package for an MCP server tool called TRAECNclaw, used to connect AI coding assistants to extra capabilities.
Mainly JavaScript. The stack also includes JavaScript, Node.js, npm.
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
double-check against the repo, no cap.