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Zhijiangyun Cloud (智匠云)

by bofobversion 1.0.1i★ –iRuns in the cloud
Registry namecloud.artibot/zhijiangyun

Install

Overview

Description from the maker (original English)

Robot embodied-AI cloud for GPU training, inference, benchmarks, and robot data collection.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Other
  • You need to fill in: Authorization

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 2 passed Fail
  • Runs on the maker’s server: what you ask it goes through their server.
  • You fill in yourself: Authorization

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Run this in your terminal

claude mcp add --transport http zhijiangyun https://mcp.artibot.cloud/mcp --header 'Authorization: your-value'

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "zhijiangyun": {
      "url": "https://mcp.artibot.cloud/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "zhijiangyun": {
      "type": "http",
      "url": "https://mcp.artibot.cloud/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • Authorization secret required HTTP header
    Zhijiangyun API key (prefix zj_ext_), apply at https://mcp.artibot.cloud/keys/ — send as: Bearer

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

The server did not answer when we last checked, so we could not read its tools.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 10, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain artibot.cloud (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • ✕ Fail

    Endpoint responds

    Did not respond within 6 seconds when we checked

  • – Not applicable

    Sign-in with OAuth

    Did not respond within 6 seconds when we checked

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

  • More stars than 0% of the other 19062 servers in this category
  • Published to the registry more recently than 44% of the other 19062 servers in this category
  • Basic checks equal to or better than 12% of the other 19062 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Zhijiangyun Cloud (智匠云) safe?

It passed 1 of 2 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: Authorization

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Agent Guild

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

by formulahendryEarly↓ 66/wk★ 440Updated 14 months ago

Runs on your computer

Remote Desktop Commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

by desktop-commanderGrowing★ 211Updated yesterday

Runs in the cloud✓ desktopcommander.app

Agent Guild

Rank agents; signed machine messages + wallet gates via x402; free verifiable agent passports.

by AgentTanukiEarlyUpdated today

Runs in the cloud

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

ArtiBot Cloud Public Resources

English · 中文


English

What this repository is

This repository is the public technical-resources index for ArtiBot Cloud, an embodied-AI platform. It is being developed as a home for reusable documentation, data-format references, synthetic examples, and independently releasable open-source components.

The first public materials focus on a practical question that appears across robot-learning workflows: how to describe one complete observation–action–outcome episode in a portable, inspectable format.

Start here
ResourcePurpose
Embodied Episode Data Schema v0.1A format guide for task metadata, observations, robot state, actions, environment metadata, and outcomes.
Minimal Synthetic EpisodeA small, fully synthetic example and a local validator.
Repository documentation: Robot Training Data NotesRepository-side notes on normalization, evaluation, and failure replay. The official platform page is explicitly marked inside the note.
Scan2Sim Capture GuidePractical capture-quality, privacy, and authorization guidance for scene-reconstruction inputs.
Public BoundaryWhat is and is not published in this repository.
What is not published here

This repository does not publish production platform source code, deployment infrastructure, customer data, private robot-control interfaces, credentials, or non-public model weights. A document or example in this repository is not a promise that the corresponding hosted platform capability is publicly available.

Reuse and licensing status

No repository-wide license is granted at this stage. Before reusing any material, check whether the individual file provides an explicit license or permission notice. The licensing of future code, documentation, images, videos, datasets, and model assets will be stated separately and only after their provenance and reuse rights have been verified.

Official platform

For the hosted platform, visit www.artibot.cloud.


中文

这个仓库是什么

本仓库是 ArtiBot Cloud(智匠云) 的公共技术资料索引,后续将逐步发布可复用的文档、数据格式参考、合成样例以及边界明确的独立开源组件。

当前首批公开材料聚焦于具身智能训练中的一个基础问题:如何用可移植、可检查的格式描述一条完整的“观测—动作—结果”交互 episode。

建议从这里开始
资料用途
具身 Episode 数据规范 v0.1说明任务元数据、观测、机器人状态、动作、环境信息和结果的字段组织方式。
最小合成 Episode 样例一条完全合成的样例数据及本地校验脚本。
仓库内资料:机器人训练数据说明归一化、评估与失败回放的仓库资料;其中已单独明确标注唯一的官网技术页外链。
Scan2Sim 采集指南面向场景重建输入的视频采集质量、隐私和授权边界说明。
公开边界说明本仓库发布与不发布的内容范围。
本仓库不公开什么

本仓库不公开生产平台源代码、部署基础设施、客户数据、私有机器人控制接口、凭据或未公开模型权重。本仓库的文档和样例不代表对应的托管平台能力已经对外开放。

使用与授权状态

本阶段不授予仓库范围内的统一许可证。在复用任何资料前,请检查具体文件是否包含明确的许可证或授权说明。未来的代码、图像、视频、数据集和模型资产会在确认来源与再利用权利后分别标注授权范围。

官方平台

如需了解托管平台,请访问 www.artibot.cloud。


Repository status

The public documentation and examples in this repository are evolving. Please open an issue only for material that is already public in this repository; do not include credentials, private data, or production-system details in an issue.

本仓库的公共文档与样例会逐步完善。Issue 仅用于讨论本仓库已经公开的内容;请勿在 Issue 中提交凭据、私有数据或生产系统细节。

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