Pascal 3D Editor
Create, inspect, validate, and save editable 3D building scenes with Pascal's MCP server.
Katalon True Platform MCP: design tests, run with AI, upload reports, assess release readiness.
选择你使用的 AI 应用,然后复制设置。
通过 4/5 项检查 · 你的提问会经过开发者的服务器(platform.katalon.io) · ✓ 命令已检查 2026年11月13日
第一步:你用哪个 AI?
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
CustomizeConnectors
把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue
Katalon True Platform MCPhttps://platform.katalon.io/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
+ConnectorsKatalon True Platform MCP
用 Katalon True Platform MCP 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 Katalon True Platform MCP,或回答中出现 Katalon True Platform MCP 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
Plugins+Add custom MCP server
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
Katalon True Platform MCPhttps://platform.katalon.io/mcp开启新聊天,输入前先从插件列表中选择 Katalon True Platform MCP
用 Katalon True Platform MCP 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 Katalon True Platform MCP,或回答中出现 Katalon True Platform MCP 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
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
claude mcp add --transport http --scope user testops https://platform.katalon.io/mcp应能看到 Katalon True Platform MCP 在列表中并显示已连接
用 Katalon True Platform MCP 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 Katalon True Platform MCP,或回答中出现 Katalon True Platform MCP 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
用 Katalon True Platform MCP 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 Katalon True Platform MCP,或回答中出现 Katalon True Platform MCP 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
用 Katalon True Platform MCP 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 Katalon True Platform MCP,或回答中出现 Katalon True Platform MCP 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
通过网页连接的应用使用的地址
https://platform.katalon.io/mcpJSON 设置在下方“开发者专用”中
Claude Code
claude mcp add --transport http --scope user testops https://platform.katalon.io/mcpCursor (~/.cursor/mcp.json)
{
"mcpServers": {
"testops": {
"url": "https://platform.katalon.io/mcp"
}
}
}VS Code (mcp.json)
{
"servers": {
"testops": {
"type": "http",
"url": "https://platform.katalon.io/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。
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
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
服务器要求先登录,才会列出它的工具。
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
发布者(katalon-studio)不是仓库所有者(katalon-labs);可能是其他人代为上架的
代码最后更新于26天前
使用 MIT
在 305 毫秒内响应(HTTP 401)
声明支持 OAuth 登录,你的 AI 应用可以带你去登录
尚未检查;我们会在检查端点时读取工具列表
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
还没有评价
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。
它在 5 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。
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。
GitHub 仓库最后更新于26天前,最新版本(1.0.0)于4个月前进入注册中心。
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)。
同一分类中有:Pascal 3D Editor, Figma MCP Server, Remocn: Remotion MCP server, Harness, ChatCut
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
Create, inspect, validate, and save editable 3D building scenes with Pascal's MCP server.
The Figma MCP server brings Figma design context directly into your AI workflow.
Hosted MCP for Remotion videos: search Remocn components, read docs, plan a video, preview it.
Start Claude Code and Codex agents the person can watch, wait for them and read their answers.
AI video editor for agents: cut footage, add captions and motion graphics, export editable edits.
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。
Start here · Quickstart · Skills · Lifecycle · Install · MCP · Contributing
Ask your coding agent to read a requirement, design the test cases, run them with AI, upload the reports, and tell you whether the release is safe to ship. The skills do the platform work through the Katalon MCP, so the agent operates your real project instead of guessing at it.
An example session. Your requirement keys, suites, and verdicts come from your own workspace.
1. Install the skills. The skills CLI detects the agent you already run (70+ supported) and drops the skills into its native directory.
npx skills add katalon-labs/true-skills
2. Point it at your Katalon workspace. Add the MCP server to your agent's config file (the install section says which file yours is):
{
"mcpServers": { "katalon-prod-mcp": { "type": "http", "url": "https://platform.katalon.io/mcp" } } }
First connect opens a browser OAuth flow and lets you pick your workspace. Nothing to fill in, no tokens to paste, no keys to store.
3. Ask for something real.
Set up Katalon MCP and verify my projects.
Create manual tests from requirement CEL-6 and link them. Which requirements in this sprint have no test coverage? Run that suite with AI and summarize what broke. Generate a Playwright script from test case TC-1042. Upload my Playwright report to Katalon and verify the run. Is release 3.2 safe to ship?
Or hand over the whole chain: *"Analyze CEL-6, design and import the cases, build a suite, run it with AI, and tell me if we can ship."*
Four jobs. Say the situation in your own words and the agent picks the skill.
| You are a | You say | It starts at |
|---|
| Manual tester QA analyst, test analyst | *I just got requirement CEL-6 and need cases* · *Run this suite with AI and tell me what broke* · *Is this failure the app or my test* | create-test-cases → test-data → execute-test → analyze-failures Unscripted session? exploratory-charter. | | Automation tester SDET, automation engineer | *Turn TC-1042 into a Playwright spec* · *Get my run into the platform* · *Our suite went flaky this month* | test-case-to-playwright → playwright-execute → test-maintenance | | Test lead QA lead, QE lead | *What should we test first this sprint* · *Is this suite ready for the pipeline* · *Which requirements have no coverage* | test-plan → test-estimation → test-review → test-management | | Test manager QA manager, head of quality | *Can we ship 3.2* · *How long will this take and with how many people* · *Build the summary I present upward* | release-analyze → test-estimation → test-reporting |
Not connected yet? Start at platform-setup, which everyone runs once.
Not sure which one you are, or the request spans several? Ask true-platform-testing and it routes by role and by stage. The full map from intent to skill, including what to fall back to for the parts not built yet, is in lifecycle-map.md.
Nineteen skills, one folder each under skills/. The agent picks the right one from its description, so you rarely name a skill yourself.
| Skill | Stage | What it does |
|---|---|---|
| platform-setup | setup | Installs and verifies the Katalon MCP, and diagnoses auth or access failures. Start here. |
| get-started | setup | First-run onboarding after the connection is installed. Confirms the signed-in account, picks the default project in at most two questions, and opens the Katalon home view. The ChatGPT plugin runs it on install. |
| test-plan | 1 plan | Turns quality goals into scope, ranks the work by requirement coverage and risk, and builds the folder and suite structure that acts as the executable plan. |
| test-estimation | 1 plan | Sizes a test cycle from scope, risk, and historical execution data, resources it across the manual and automated lanes, and states the uncertainty instead of inventing precision. |
| create-test-cases | 2 design | Reads a requirement or free text, designs atomic manual cases with ISTQB techniques as reference, skips duplicates, imports only what is missing, and links each case back to the requirement. |
| test-data | 2 design | Designs the data a case runs on, decides what must exist before a run, keeps literals out of the step text, and resets state afterwards so the next run starts clean. |
| exploratory-charter | 2 design | Writes a charter with a mission, areas, oracles, and a timebox, runs the session, and turns what was found into defects and scripted cases. |
| test-management | 3 manage | Organizes folders and suites, finds assets at scale, and produces a requirement to case to suite traceability report with coverage percentage and orphans. |
| test-review | 4 review | Reviews coverage, case quality, and flakiness before anything enters the pipeline, and returns Approve, Approve with fixes, or Reject plus the specific weak cases. |
| execute-test | 5 execute | Runs a case, a list, or a suite as a manual run, a Run with AI session, or scheduled automation, then reports pass, fail, and blocked. |
| upload-report | 5 execute | Runs automation and uploads or verifies Katalon Studio/KRE, JUnit XML, and Playwright reports on the platform. |
| test-case-to-playwright | 5 execute | Converts manual cases into Playwright TypeScript with Page Object Model and fixtures. |
| test-case-to-katalon-studio | 5 execute | Converts manual cases into Katalon Studio test cases and Groovy scripts, keeping the .tc and .ts pair GUID-consistent. |
| playwright-execute | 5 execute | Runs Playwright specs, ships the report with @katalon/playwright-reporter, and verifies the run landed. |
| analyze-failures | 6 analyze | Sorts failures into product defect, automation defect, and environment noise, clusters them by signature, and files ALM defects for the real bugs. |
| release-analyze | 6 analyze | Reads coverage, stability, and defect data to return Ready, Ready with risk, or Not ready, with the reasons attached. |
| test-reporting | 6 analyze | Turns platform quality data into the few metrics that answer a stakeholder question, trended across releases, as a summary a manager can present upward. |
| test-maintenance | 7 maintain | Finds flaky and broken cases from stability history, repairs or regenerates them, and hands the refreshed gap list back to planning. |
| true-platform-testing | all | The router and end to end runner. Routes any request to the right stage, or drives the full chain from requirement to ship decision. |
Multi-skill playbooks live in combination-recipes.md. Copy-paste prompts and cross-model notes are in prompt-recipes.md.
Seven stages, each owned by a skill. The loop closes when maintenance feeds its gap list back into the plan.
platform-setup sits before all seven, connecting the MCP. Every skill states which Katalon MCP tools it uses and where the platform stops. Full stage map: lifecycle-map.md. Every tool in one line each: mcp-tool-index.md. A self-contained visual for humans: docs/lifecycle.html.
Each skill names its limits up front so the agent does not promise work the platform cannot do.
Through the MCP: list projects and repositories, read requirements, create and update and link test cases, manage suites and folders, create manual runs, start Run with AI, poll AI sessions, read results, fetch quality metrics, and file ALM-linked defects.
Not through the MCP: creating requirements, creating a formal Test Plan entity, guaranteeing an AI run finishes, or inspecting the live app UI without a browser tool. A named suite plus a release or sprint association stands in for the Test Plan entity.
Some work is a product surface rather than an API call: object capture and resilience design in Studio, custom fields and Git config and governance in the TestOps UI, self-healing and Time Capsule and TrueTest regeneration, and rerun, terminate, and Live Monitor. The full list is in unavailable-capabilities.md.
Every path needs the Katalon MCP configured.
Any agent via the skills CLI
npx skills add katalon-labs/true-skills # all skills, this project
npx skills add katalon-labs/true-skills --skill platform-setup # just one npx skills add katalon-labs/true-skills -g # user-global, every agent npx skills update # pull the latest
The CLI installs skill files only. Configure the MCP yourself with the snippet below, or use the Claude Code and Codex plugin paths, which bundle it.
Any agent via the Ag