Piping Toolset Engineering Data

Name: Piping Toolset Engineering Data
Author: pipingtoolset

作者：pipingtoolset版本 0.1.0i★ 2i在云端运行

注册名称com.pipingtoolset/data

安装方法

What it does

Engineering code-table data with citations: standard, edition, table, row and column.

Connects 在云端运行
Account or key No key needed
Category 开发者工具

安装

选择你使用的 AI 应用，然后复制设置。

通过 4/4 项检查 · 你的提问会经过开发者的服务器（pipingtoolset.com） · ✓ 命令已检查 2026年11月13日

第一步：你用哪个 AI？

Claude网页 · 应用 · 手机ChatGPT网页Claude Code终端Cursor代码编辑器VS Code代码编辑器其他其他应用

选择你用的应用，步骤会显示在下方。

可连接 Claude · 约 2 分钟

不需要密钥，不用安装程序 · 在 claude.ai 或桌面应用设置一次，即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者（Owner）添加

打开 Claude 的 Connectors 页面
CustomizeConnectors
已完成
点击“Add” → “Custom” → “Web”，填写这 2 项
把这里的内容复制到 Claude 中同名的输入框，然后点击 Continue
Name · 名称Piping Toolset Engineering Data
Remote MCP server URL · 地址https://pipingtoolset.com/mcp
在 Claude 检测到的登录设置页点击 Continue · Authentication 按作者说明选择（Sign in now、Sign in when needed 或 No sign in），然后点击 Add
已完成
在聊天中开启
+ConnectorsPiping Toolset Engineering Data
已完成
试一试
用 Piping Toolset Engineering Data 告诉我你能帮我做什么，然后做一件给我看
✓ 如果 Claude 说正在使用 Piping Toolset Engineering Data，或回答中出现 Piping Toolset Engineering Data 的工具名称，就表示连接成功

菜单名称已于 2026年11月11日对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

能否连接 ChatGPT 取决于方案

完整 MCP：网页版 ChatGPT Business、Enterprise 或 Edu · Pro：以读取/获取权限连接，修改数据的工具可能用不了 · Plus：官方文档尚未确认，如果在插件页看到添加自定义 MCP 的选项可以试试 · 仅限网页

在网页版 ChatGPT 打开添加 MCP 的页面
Plugins+Add custom MCP server
已完成
填写名称和地址
输入名称，在 Connection 下粘贴地址，勾选风险提示，然后点击 Create as a plugin
Name · 名称Piping Toolset Engineering Data
Connection · 地址https://pipingtoolset.com/mcp
已完成
在聊天中选择 Piping Toolset Engineering Data
开启新聊天，输入前先从插件列表中选择 Piping Toolset Engineering Data
已完成
试一试
用 Piping Toolset Engineering Data 告诉我你能帮我做什么，然后做一件给我看
✓ 如果 ChatGPT 说正在使用 Piping Toolset Engineering Data，或回答中出现 Piping Toolset Engineering Data 的工具名称，就表示连接成功

菜单名称已于 2026年11月11日对照 OpenAI 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Claude Code · 约 2 分钟

不需要密钥，不用安装程序

打开终端
Mac：按 Command+空格，输入 Terminal · Windows：打开 PowerShell
已完成

粘贴这条命令并按 Enter

claude mcp add --transport http --scope user data https://pipingtoolset.com/mcp

已完成

在 Claude Code 中输入 /mcp
应能看到 Piping Toolset Engineering Data 在列表中并显示已连接
已完成
试一试
用 Piping Toolset Engineering Data 告诉我你能帮我做什么，然后做一件给我看
✓ 如果 Claude Code 说正在使用 Piping Toolset Engineering Data，或回答中出现 Piping Toolset Engineering Data 的工具名称，就表示连接成功

菜单名称已于 2026年11月11日对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor · 约 2 分钟

不需要密钥，不用安装程序

点击这个按钮打开 Cursor
在 Cursor 中打开
Cursor 会请你确认安装，点击 Install
已完成
在 Cursor 中以 Agent 模式打开 AI 聊天
已完成
试一试
用 Piping Toolset Engineering Data 告诉我你能帮我做什么，然后做一件给我看
✓ 如果 Cursor 说正在使用 Piping Toolset Engineering Data，或回答中出现 Piping Toolset Engineering Data 的工具名称，就表示连接成功

菜单名称已于 2026年11月11日对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code · 约 2 分钟

不需要密钥，不用安装程序

点击这个按钮打开 VS Code
在 VS Code 中打开
VS Code 会请你确认安装，点击 Install
已完成
在 VS Code 中以 Agent 模式打开 AI 聊天
已完成
试一试
用 Piping Toolset Engineering Data 告诉我你能帮我做什么，然后做一件给我看
✓ 如果 VS Code 说正在使用 Piping Toolset Engineering Data，或回答中出现 Piping Toolset Engineering Data 的工具名称，就表示连接成功

菜单名称已于 2026年11月11日对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用（如 Windsurf、Zed、Gemini CLI）添加方式各不相同，请在应用列表中查看

查看所有支持 MCP 的应用 →

通过网页连接的应用使用的地址

地址https://pipingtoolset.com/mcp

JSON 设置在下方“开发者专用”中

卡住了？问问正在用 Piping Toolset Engineering Data 的人💬 讨论 →

开发者专用：终端命令和 JSON 设置

通过网页连接

Claude Code

claude mcp add --transport http --scope user data https://pipingtoolset.com/mcp

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "data": {
      "url": "https://pipingtoolset.com/mcp"
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "data": {
      "type": "http",
      "url": "https://pipingtoolset.com/mcp"
    }
  }
}

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

一览

GitHub 星标 i: 2
每周下载量i: 不在 npm/PyPI 上
已验证域名: ✓ pipingtoolset.com
许可证 i: Apache-2.0
连接方式: 在云端运行
传输方式: streamable-http
最新版本i: 0.1.0
分类i: 开发者工具
发布到注册中心i: 2026年11月12日
代码最后更新i: 2026年11月12日
作者: pipingtoolset
仓库: pipingtoolset/pipingtoolset-claude
网站: pipingtoolset.com
注册状态: 活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档，检查于 2026年11月10日。

通过互联网连接，适用于

Claude ChatGPT Goose LM Studio Msty Studio Cherry Studio Cursor VS Code + GitHub Copilot Visual Studio Windsurf (Devin Desktop)Zed Kiro Cline Continue JetBrains AI Assistant Claude Code Codex CLI Gemini CLI OpenCode nodecode Warp LibreChat Open WebUI Raycast

全部应用及其优缺点 →

它能做什么

工具名称和描述与服务器在 2026年11月15日报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

find_dataset
Search the engineering code-table datasets by keyword (standard, table, quantity, material). Returns up to 10 matches, each with its id, title, standard, edition and table, whether lookups return a value or a pointer (table, row and column only), and the tier at which values are
describe_dataset
Describe one dataset: the key fields a lookup needs, the value columns with units and which need a temperature, the citation (standard, edition, table), whether lookups return a value or a pointer, the tier at which values are returned, and the daily lookup limits. Returns struct
lookup_value
Return one value from one row and one column of a code-table dataset, with its citation (standard, edition, table, row, column), unit and the tabulated entries used. Temperature columns take T in °F; allowable-stress and flange-rating columns interpolate linearly between the two
list_keys
List the key identifiers of a dataset's rows (for example spec, grade, class, size, and the row position `line`) so lookup_value can address exactly one row. Returns identifiers only, never table values, at most 50 per call; `prefix` filters on the first key field. For pointer da
get_pointer
For a quantity whose value this server does not return (for example PVP2011-57100 nozzle allowables, ASCE 7-22 SDS, Ip, CAR and Rpo, AISC Fy/Fu, ACI anchor product values, API 617/611/612 and NEMA SM 23 coefficients, API 650 Annex P coefficients, and any dataset currently returne
get_skey_map
Return the Isogen-style SKEY vocabulary Piping Toolset uses (component prefixes, end-condition suffixes, fitting and support keys) with scope 'isogen', or the PCF record set, substitutions and default SKEYs that import cleanly into CAESAR II with scope 'caesar-safe'. `component`
get_fixture_example
Return one worked example case for a Piping Toolset plugin skill: the inputs, the expected outputs and the pass/fail status from the hand-checked calculation fixtures, with case names removed. `case` selects among the skill's cases (0-based; the result gives the count).
get_aisc_shape
Return the dimensions and section properties of one AISC shape by designation (e.g. W8X31, HSS6X6X3/8, PIPE4STD, L4X4X1/2): weight, area, depth, flange and web dimensions, I, S, Z, r, J and Cw as applicable. Source: AISC Shapes Database v16.0; L, HSS and Pipe computed from nomina
get_pipe_dimensions
Return the outside diameter and nominal wall thickness (in) for a nominal pipe size per ASME B36.10M / B36.19M: one schedule with its wall and inside diameter when `schedule` is given (e.g. 40, STD, XS, 80, 10S), otherwise the walls of every schedule listed at that size.
verify_connector
Report whether the caller is signed in, the caller's tier, how many datasets return values at that tier, and the remaining daily lookups when the server tracks them. Returns no email, name or account id.

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月15日

✓ 通过
作者与仓库一致
注册名称已通过域名 pipingtoolset.com 验证（注册中心会核实域名所有权）
✓ 通过
仍在维护
代码最后更新于3天前
– 不适用
有许可证
不适用：由 pipingtoolset.com 的所有者自己运行的云端服务器，你不会运行仓库里的代码
✓ 通过
端点有响应
在 500 毫秒内响应（HTTP 200）
– 不适用
使用 OAuth 登录
无需登录
✓ 通过
工具描述中没有隐藏指令
已读取 10 个工具描述，未发现针对 AI 的隐藏指令

我们检查什么 → · JSON

作者：申请重新检查或报告信息错误

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

还没有帖子，欢迎第一个提问或分享。

此处内容由用户撰写，不代表 PopNx 团队。

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与“开发者工具”中的其他服务器比较i

星标数多于此分类中其他 5921 个服务器的 77%
发布到注册中心的时间比此分类中其他 5921 个服务器的 92% 更新
基础检查结果等于或优于此分类中其他 5921 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Piping Toolset Engineering Data 安全吗？

它在 4 项适用的基础检查中通过了 4 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

它在作者的云端运行。通过互联网连接，无需安装，但你发送的内容会经过作者的服务器。

它还在维护吗？

GitHub 仓库最后更新于3天前，最新版本（0.1.0）于3天前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接，因此也能用于接受远程 MCP 的应用，例如网页版 ChatGPT（Business 及以上为完整 MCP；Pro 为只读）。

有什么可以替代它？

同一分类中有：GitDiagram, Appllama, Cloudflare MCP, Omnara, Repowise

功能相近的其他选择

同一分类、其他作者、命令已通过检查。官方的排在前面，再按星标排序。

如何看卡片：↓ 每周下载量i★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

GitDiagram

Architecture diagrams, explanations and Mermaid source for public GitHub repositories.

作者：ahmedkhaleel2004广泛使用★ 1.9万2个月前更新

在云端运行✓ 服务方 · gitdiagram.comPopNx 团队已实际试用

接入方法

Appllama

Study screens, flows and paywalls from top-earning iOS apps, then build from what wins.

作者：Appllama广泛使用★ 51963个月前更新

在云端运行✓ 服务方 · appllama.io

接入方法

Cloudflare MCP

Cloudflare MCP servers

作者：cloudflare广泛使用★ 446814个月前更新

在云端运行✓ 服务方 · mcp.cloudflare.comPopNx 团队已实际试用

接入方法

Omnara

Deploy durable AI agents with Omnara, an open-source managed-agent platform.

作者：omnara-ai广泛使用★ 34002个月前更新

在云端运行✓ 服务方 · omnara.com

接入方法

Repowise

Codebase intelligence for AI coding agents: graph, git history, docs, decisions, code health.

作者：repowise-dev广泛使用↓ 6506/周★ 8145 整个仓库的星标前天更新

电脑或云端✓ 服务方 · repowise.dev

安装

GitDiagram — 在云端运行，无需安装 · 不需要密钥
Appllama — 在云端运行，无需安装 · 不需要密钥
Cloudflare MCP — 在云端运行，无需安装 · 不需要密钥 · 在 Claude 的目录中
Omnara — 在云端运行，无需安装 · 不需要密钥
Repowise — 云端或安装在电脑上都可以 · 不需要密钥

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

PipingToolset for Claude, ChatGPT and Codex

B31 calcs you can reproduce and defend in review, with the assistant you already use. The assistant does the interview. A script does the math. You read the table.

Six piping engineering skills, one plugin, installable in Claude Code and Claude Cowork, in ChatGPT and OpenAI Codex, and in any assistant that reads the Agent Skills format (Cursor, GitHub Copilot, Gemini CLI and others), from the people who build the free calculators at pipingtoolset.com. Written and maintained by a practicing piping engineer at Flexible Piping Solutions LLC. The same folder carries both a Claude manifest and an Agent Plugins 1.0 manifest, so the install you pick changes nothing about what the skills do.

The plugin is free and the skills run entirely on your side. An optional Engineering Data connector can hand the assistant a cited code-table value instead of making you look it up, within what your pipingtoolset.com plan covers. Every skill works without it.

	Claude	ChatGPT / Codex
Landing page	pipingtoolset.com/claude/	pipingtoolset.com/openai/
Install file	`piping-toolset.plugin` (drag into Cowork)	`codex plugin marketplace add pipingtoolset/pipingtoolset-claude`
Invoke	`/piping-toolset:pipe-stress-check` or name it in Cowork	`$pipe-stress-check` in Codex, name it in ChatGPT
Manifest read	`.claude-plugin/plugin.json`	`plugin.json` (Agent Plugins 1.0, `extensions.com.openai`)
Engineering Data connector	Declared by the plugin in `.mcp.json`	Not declared; you add it by hand (see Add the connector)

Skill	What it does
`pipe-stress-check`	Sustained, occasional and expansion hand checks, the f factor by edition, which document supplies the SIFs, the formal-analysis exemption, support spans and spring variability, the ASCE 7 occasional-load build and the ASD position, owner practices (PIP PNC00004 / PNC00001 / RECE002), and a cold-eye review protocol for a CAESAR II or AutoPIPE run or a received calc package: traceability chain, modelling and documentation findings with severity, verdict recommendation. Replaces `stress-screening` (0.10.0); its eight engine modules are unchanged
`load-case-builder`	Complete B31.1 / B31.3 static load case sets for CAESAR II and AutoPIPE, generated symbolically so references never go stale, with a QC gate and a report extraction matrix
`pipe-support`	Pipe support assemblies (arm, column, welds, bolts, base plate, anchors, pier) checked for CAESAR II restraint loads: ASCE 7-22 combinations, AISC 360-22, ACI CODE-318-25 Chapter 17 (ACI 318-19 selectable) and AWS D1.1 detailing, with a PE-style review, ranked code-passing alternatives (lighter, less field work, stocked sizes) and an engineer-ready calc report. The pipingtoolset.com PiperSTR engine, verified against a published PiperSTR report value for value
`stress-import`	Any piping source into an analysis-ready CAESAR II or AutoPIPE model with every support on a node: PDF stress isometrics transcribed and built in exact fractions, Revit / Fabrication PCF exports de-duplicated, re-vocabularied and healed, Navisworks NWC hangers and trapezes mined and snapped to the centreline, rule-placed supports, a pre-import checker (pieces and anchors, free ends, slivers, supports off node, spans over the project table), an SVG plot, the AutoPIPE translator's bend and loop-closure checks (E726-15, W726-8, E751-1), and the CAESAR II neutral-file repair after APCF import (node bands per line, T/P, fluid density, anchor codes) with an independent proof. Replaces `iso-to-pcf` (0.10.0); its builder and validator are unchanged
`nozzle-load`	Piping forces and moments on equipment nozzles, checked the way the vendor will: API 610 Table 5 and Annex F for pumps, the API 617 / 611 / 612 and NEMA SM-23 combined form for compressors and turbines, API 660 / 661 / 560 per-component and header-sum checks for exchangers and heaters, API 650 Annex P ordinates for tank shells, and the PVP2011-57100 method as the default for a pressure vessel with no API allowable. The user reads every table row; the script applies the scaling rules and the ratios. PIP RECE002 design-stage margins as an owner practice
`bolted-flange`	Piping loads on a bolted flanged joint in a fixed order: the pressure-equivalent screen first, always, against the B16.5 rating the user reads, then the BPVC VIII-2 Part 4.16 (formerly VIII-1 Mandatory Appendix 2; pre-2025 paragraph map shown) analysis for integral and loose flanges, with bolt area, hub, radial and tangential stresses and rigidity. Flange dimensions, gasket factors, ratings and allowables all come from the user's copies

How it works

The assistant never does the arithmetic. Each skill ships standard-library Python scripts. Every number a skill states comes from a script run on inputs you supplied. The scripts reproduce the pipingtoolset.com calculation engine's locked test cases (tests/fixtures/calc-core; a red parity test blocks a release).
The assistant never recalls a code table value. Allowable stresses, moduli, SIFs, spans, ASCE 7 coefficients: the skill names the table, row and edition and takes the value from one of two places, your own copy of the standard or, if you have enabled the optional connector and your plan covers the table, a connector lookup that arrives with its citation. Asking it for "just the number" with neither is a pinned test, and the answer is no. The one exception is pipe-support, which bundles the AISC 360-22 tables and the AISC Shapes Database (both published free by AISC) and the ASCE 7-22 and ACI CODE-318-25 / 318-19 factors it uses; its references/code-basis.md lists every one.
The edition is an input, never a silent default. Anything you leave unanswered is marked ASSUMED on the calc sheet.

The skills make no network calls. Their scripts run in your own assistant's environment, and what you type goes to Anthropic or OpenAI under the terms of your own account with them. The only part of the plugin that talks to pipingtoolset.com is the optional Engineering Data connector, and it sends only what a table lookup needs. Leave it disconnected and nothing you enter is sent to PipingToolset or Flexible Piping Solutions.

Install

In Claude Cowork

Download piping-toolset.plugin from the latest GitHub Release of pipingtoolset/pipingtoolset-claude.
Drag the file into a Cowork chat. A preview card appears; press Accept.

Or, in the app's plugin settings, add the marketplace pipingtoolset/pipingtoolset-claude.

To update, install the new .plugin from the latest release. An installed copy keeps any defect it shipped with until you update it, so UNCONSERVATIVE-FIX releases (see CHANGELOG.md) are the recall channel.

In Claude Code

/plugin marketplace add pipingtoolset/pipingtoolset-claude

/plugin install piping-toolset@pipingtoolset

For a local checkout: /plugin marketplace add .

In ChatGPT and Codex

The plugin folder carries an Agent Plugins 1.0 manifest (plugins/piping-toolset/plugin.json) with the OpenAI listing block, and the repository carries .agents/plugins/marketplace.json, so OpenAI's tools read it directly.

With the Codex CLI installed, register the marketplace:

   codex plugin marketplace add pipingtoolset/pipingtoolset-claude

Install PipingToolset from the plugin picker: /plugins in the Codex CLI, or Customize › Plugins in the ChatGPT desktop app, where it shows with the PipingToolset mark and "By Flexible Piping Solutions LLC". The Codex IDE extension does not install plugins (OpenAI's plugin docs); there, add the skills on their own as described under Other assistants.
Invoke a skill as $pipe-stress-check (or /skills) in Codex, or name it in plain words in ChatGPT, as in Cowork. The Codex CLI runs the scripts with your machine's Python 3.9+; the ChatGPT desktop app runs them in its own sandbox.

The OpenAI plugin directory listing is submitted from the same archive (piping-toolset.zip, the .plugin under a .zip name, from the latest release); until it is listed, the marketplace route above is the install.

Other assistants

The skills are plain Agent Skills, so the same repository installs into any host that reads that format.

Assistant	Command
Any Agent Skills host via the `skills` CLI (Cursor, Copilot, Codex, Gemini CLI and others)	`npx skills add pipingtoolset/pipingtoolset-claude`
GitHub CLI	`gh skill install pipingtoolset/pipingtoolset-claude`
Manus, Perplexity and other skills-upload hosts	Upload `piping-toolset-skills.zip` from the latest release; it holds only the `skills/` folder, no manifest, no connector declaration and no logo

Where the skills land after a CLI install:

Scope	Path
Project (default)	`.agents/skills/ /` in the current repository
User (`--global` / `-g`)	`~/.agents/skills/ /`

Hosts without a /piping-toolset: prefix see the six skills by name (pipe-stress-check, stress-import, load-case-builder, pipe-support, nozzle-load, bolted-flange); name the one you want in plain words, as in Cowork. Each skill's frontmatter states its only requirement, Python 3.9+ with the standard library, so a host can check it before running a script.

Requirements

Python 3.9 or newer wherever the skills run: your own machine for Claude Code; Cowork's built-in sandbox provides it (confirmed on a live Cowork session with tests/e2e/COWORK-CHECKLIST.md, 2026-10-27). There is nothing else to install. The skills and their scripts send nothing anywhere. With the connector declared, your assistant contacts pipingtoolset.com when a session starts and when a skill asks for a value; every skill works with it disconnected. The connector is optional and has its own section below.

Invoking a skill

In Cowork, pick the skill from the skills menu or name it in plain words, for example "use the pipe support skill to check PS-201" or "use the pipe stress check skill: B31.3-2024, which document ...". Naming it matters, because other installed skills on the same topics would otherwise compete.

In Claude Code, use the slash form: /piping-toolset:pipe-stress-check, /piping-toolset:stress-import, /piping-toolset:load-case-builder, /piping-toolset:pipe-support, /piping-toolset:nozzle-load, /piping-toolset:bolted-flange. The plugin shows as PipingToolset in the plugin list; its id (and the command prefix) stays piping-toolset so existing installs keep working.

Engineering Data connector

An optional remote server for the Model Context Protocol (MCP): pipingtoolset-data at https://pipingtoolset.com/mcp (Streamable HTTP, stateless). The plugin declares it in .mcp.json for Claude Code and Cowork, so those hosts offer it. It does not declare it for Codex or the ChatGPT desktop app: in 0.7.0 a declaration there made Codex ask for a sign-in at install, which an optional connector must not do, so in those hosts you add it by hand (below). Installing the plugin does not contact it or ask you to sign in. The plugin stays free, every skill works without the connector, and the refusal prompts behave the same with it off. Setup and the dataset list: [pipingtoolset.com/docs/connector/](https://pipi

只显示了开头部分；其余内容请在仓库中阅读

Piping Toolset Engineering Data

What it does

安装

打开 Claude 的 Connectors 页面

点击“Add” → “Custom” → “Web”，填写这 2 项

在聊天中开启

试一试

在网页版 ChatGPT 打开添加 MCP 的页面

填写名称和地址

在聊天中选择 Piping Toolset Engineering Data

试一试

打开终端

粘贴这条命令并按 Enter

在 Claude Code 中输入 /mcp

试一试

点击这个按钮打开 Cursor

在 Cursor 中以 Agent 模式打开 AI 聊天

试一试

点击这个按钮打开 VS Code

在 VS Code 中以 Agent 模式打开 AI 聊天

试一试

通过网页连接

一览

哪些应用可以使用它

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

讨论

用户评价

与“开发者工具”中的其他服务器比较i

常见问题

功能相近的其他选择

GitDiagram

Appllama

Cloudflare MCP

Omnara

Repowise

作者的 README

PipingToolset for Claude, ChatGPT and Codex

How it works

Install

In Claude Cowork

In Claude Code

In ChatGPT and Codex

Other assistants

Requirements

Invoking a skill

Engineering Data connector