Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Beschreibung vom Entwickler (englisches Original)
Katalon True Platform MCP: design tests, run with AI, upload reports, assess release readiness.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:
https://platform.katalon.io/mcpFühre das in deinem Terminal aus
claude mcp add --transport http testops https://platform.katalon.io/mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"testops": {
"url": "https://platform.katalon.io/mcp"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"testops": {
"type": "http",
"url": "https://platform.katalon.io/mcp"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
ChatGPT verbindet sich nur mit Servern im Internet:
https://platform.katalon.io/mcpMenünamen können sich je nach Tarif und mit der Zeit leicht unterscheiden.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Die Tool-Liste dieses Servers haben wir noch nicht gelesen; wir prüfen die Endpunkte reihum.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026
Der Herausgeber (katalon-studio) ist nicht der Repo-Inhaber (katalon-labs); vielleicht hat jemand anderes ihn eingetragen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Noch nicht geprüft; wir prüfen die Endpunkte reihum
Noch nicht geprüft; wir prüfen die Endpunkte reihum
Noch nicht geprüft; wir lesen die Tool-Liste, wenn wir den Endpunkt prüfen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 0 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft in der Cloud des Entwicklers. Du verbindest dich übers Internet, ohne etwas zu installieren, aber was du sendest, läuft über die Server des Entwicklers.
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.0.0) kam vor 4 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.
In derselben Kategorie: Figma Context MCP, Claude Real Video, Figma MCP Server
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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
Nur der Anfang wird gezeigt; den Rest findest du im Repo