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)
Run Atris campaigns from any agent, and extract, check, or search brand design systems.
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.
ATRIS_API_KEYAls geheim markierte Werte sind Schlüssel zu deinem Konto. Gib sie nie weiter und füge sie nie in einen Chat ein.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"atris": {
"command": "npx",
"args": [
"-y",
"atris",
"mcp"
],
"env": {
"ATRIS_API_KEY": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add atris --env ATRIS_API_KEY=your-value -- npx -y atris mcpTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"atris": {
"command": "npx",
"args": [
"-y",
"atris",
"mcp"
],
"env": {
"ATRIS_API_KEY": "your-value"
}
}
}
}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": {
"atris": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"atris",
"mcp"
],
"env": {
"ATRIS_API_KEY": "your-value"
}
}
}
}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.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
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.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto atrislabs bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 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.
Das musst du eintragen: ATRIS_API_KEY
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (3.80.0) kam heute in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
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.
atris: you say what you want in plain words. atris builds it, checks it, and shows you proof.
Under the hood it is an operating system for AI work. It turns any repo into a workspace an agent can actually operate: shared context it reads before it acts, a plan -> do -> review loop, durable tasks and daily logs, and verification that ends work on a real check instead of a promise.
Every owner gets persistent computers to run it:
Owner = User | Business
Owner has many Computers Computer = workspace + files + tools + secrets + memory + agents + validation loop
A computer can be personal or shared by a business. It can run a job like code, research, CRM, reporting, event ops, support, or business ops.
Atris gives Claude Code, Codex, Cursor and any other agent a memory that lasts across sessions. The memory is plain files in your repo: atris/MAP.md (where everything lives, with file and line numbers), atris/wiki/ (what the team learned, as pages linked with [[page-name]]), atris/logs/ (what was done and checked each day), and atris task (open work, who claimed it, and the proof). Every agent reads the same files before it acts, so several agents and people share one memory, reviewed in git like code.
Mem0, Zep and Letta remember the users of a chat app. Atris remembers the project. Guide and comparison: https://atris.ai/blog/memory-for-coding-agents
npm install -g atris
cd your-project atris init && atris
Read [`FOR_AGENTS.md`](FOR_AGENTS.md) first: why agents adopt Atris, 60-second start, spread-it instructions.
If you're an agent, run:
atris
Then read the workspace's atris/atris.md and follow it exactly. atris.md is the source of truth.
plan -> do -> review loopatris recap, or atris recap --share for a receipt-backed summary you can paste anywhere| File | Purpose |
|---|---|
atris/atris.md | Main instructions for agents working in this repo |
atris/MAP.md | Navigation index with file:line refs |
atris/TODO.md | Human-readable task view |
atris/logs/YYYY/YYYY-MM-DD.md | Daily log, inbox, notes, completions |
atris/features/ | Feature packs with idea.md, build.md, validate.md |
atris/skills/ | Reusable skills for agents |
atris/team/ | Team member specs and local context |
atris/wiki/ | Repo memory, briefs, concepts, and wiki health |
atris/
├── atris.md ├── MAP.md ├── TODO.md ├── logs/ ├── features/ ├── skills/ ├── team/ └── wiki/
npm install -g atris
atris --version
Requires Node.js 18+. atris task uses built-in SQLite and requires Node.js 22+.
If you want Atris cloud workspaces, businesses, or integrations, run atris setup after install.
cd your-project
atris init atris
atris init scaffolds the workspace, including atris/wiki/. atris loads context and hands the workflow off to atris/atris.md.
If you're still shaping the idea, use atris brainstorm. If you want Atris to finish one job and prove it worked, use atris run " ". If you want Atris to keep picking the next mission or member until you say stop, use atris autopilot. If you want project memory checked for stale pages and missing context, use atris loop. atris activate surfaces wiki state from atris/wiki/STATUS.md when it exists.
Core loop: plan -> do -> review
Integrates with any agent.
Upload any built static site to an Atris-hosted subdomain. See docs/site-publish.md for flags, limits, profiles, and troubleshooting.
atris site publish dist --slug my-site --spa
atris site publish . --slug my-next-app --profile app --build # Next.js static export
The Host is a team member that gets to know everyone in a room (a company, a club, your own network) through one fun question at a time, keeps a card for each person, and introduces two people only when both say yes. Then it offers to find a time and checks that it happened. It never reads anyone's messages and keeps no scores.
atris member install host
atris host setup --room personal # your own network: it asks you, and drafts messages for you to send atris host import people.jsonl # bulk add people and who already knows whom atris host room # the host's weekly read
Members are helpers that work in their own copy of the repo. Three words cover it.
Run hands over one job. Atris picks the right member and starts it.
atris member run "fix one failing test"
Wake keeps members working, each one pulling the next task that fits. Give a number, or name the members you want.
atris member wake 5
atris member wake navigator executor
Wake only picks jobs that have a test to pass, so members know when they are done. Add one like this:
atris task new "fix the flaky login test" --verify "node --test test/login.test.js"
Each job gets the time limit set for building in your roster, plus a few minutes for review. To see or change it:
atris engine roster
Naming just one member runs one step of work. Add --keep to keep that one member working.
atris member wake executor --keep
Sleep stops the members that are awake.
atris member sleep --all
To watch them, open the board, or follow one member's steps as they happen.
atris member board --watch
tail -f ~/.atris/progress/executor.log
When a member finishes, ask for its result: what it changed, its receipt, and one number. Each member's copy of the repo stays until its work lands, then tidy puts it away.
atris member result executor
atris member tidy --dry-run
The older words still work as aliases: dispatch and go do what run does, and up does what wake does.
Every member job ends with its own check, a command that must pass. Then a second engine reviews the change, and it is never the engine that did the work.
Work lands on its own only after you switch self-landing on, once. From then on Atris pushes the branch, opens a pull request, and turns on GitHub auto-merge, so GitHub merges it when the branch is up to date and CI passes.
atris autoland on
Anything else keeps the work on its branch, with one plain line saying why. That covers a failed check or review, unsaved changes, a clash with the main branch, and work that touches a protected area like payments, deploys, or credentials.
A job that fails three times in a row stops and waits for a person.
ax is the Atris 2 chat and coding-agent CLI. It uses the hosted Atris cloud by default, streams text, shows tool activity, and keeps fresh installs away from local setup.
cd your-project
ax chat ax --fast ax --fast "hello" ax --pro "help me plan this task" ax --max "reason through this hard decision" ax --doctor
Use Fast for quick chat and low-latency Atris loops. Use Pro for deeper tool loops. Use Max for the hardest jobs; it runs the highest-reasoning model and takes longer per turn. Advanced local workspace mode is opt-in with --local plus AX_BACKEND_URL.
AgentXP is the proof-backed game loop for getting better with agents. Start it inside any project folder:
npm exec --yes --package atris@latest -- atris play
The first run creates a local starter mission if one does not exist. The loop is:
start -> proof -> accept -> login -> sync
The player path:
atris play
atris task claim --as game-manager atris task ready --as game-manager --proof " " atris task accept --as justin --proof " " atris xp card --local atris login atris xp sync --local
The manager path:
atris gm --player justin
No proof, no AgentXP. atris task done --proof records review/RL context, but only human atris task accept mints Career XP for the local card or hosted leaderboard.
atris login signs a person in. An agent can sign itself in with an agent client, so no one has to hand it a login token.
The owner makes the client once. The secret is shown one time, or written to a private file with --secret-file:
atris agent-client create --name nightly-bot --scopes mcp:read,x-search --secret-file ./bot.secret
atris agent-client list atris agent-client rotate atris agent-client revoke
The agent signs in with the id and the secret file. Its short token renews on its own; the secret and token are never printed:
atris login --client-id atc_... --client-secret-file ./bot.secret
Or set ATRIS_CLIENT_ID plus ATRIS_CLIENT_SECRET_FILE (or ATRIS_CLIENT_SECRET) and run atris login once. It reads them, no flags needed, and opens no browser. After that every command renews the token on its own. ATRIS_TOKEN, when set, still wins.
If you want a shared owner for a company, lab, collective, community, artist, team, or project, use the business command instead of raw atris init.
atris business init "Example Co" --owner-email operator@example.com
cd ~/arena/atris-business/example-co atris business onboard --website https://example.com --contact "Example Owner" --note "sample customer workspace" atris align --fix
That creates the shared owner, creates its first/default computer, writes .atris/business.json, initializes .atris/state/ for events and run history, and scaffolds the local atris/ workspace under ~/arena/atris-business/ / with starter roles, a default recap template, and an initial task queue in atris/TODO.md.
If you do not have a neat source pack yet, atris business onboard is the easiest intake step: give it a website, a named human, a few notes, or run it in a folder with loose files. Atris turns that into raw intake, a starter brief, a first workflow, a safe next action, and a short operator brief.
Use the owner's language when you talk about it:
Your business runs on Atris.
Your lab runs on Atris. Your collective runs on Atris.
You can also use bare input:
atris business onboard https://example.com "founder-led b2b ops" ./notes.md
If you already have a folder full of source material, run it from there with atris business init "Example Co" --here.
When the first recap is done, record it into the RL state logs:
atris business record atris/reports/2026-04-12-operator-recap.md --outcome mixed --metric "operator speed"
| Command | Purpose |
|---|---|
atris | Load context and start |
atris init | Scaffold an Atris workspace |
atris brainstorm | Explore before planning |
atris plan | Create the plan/spec |
atris do | Execute work |
atris review | Validate work and capture learnings |
atris run | One bounded mission pursuit: start or resume, tick, complete (--legacy for the old plan/do/review chain) |
atris run logs | Browse glass run logs (phase reasoning persisted to disk) |
atris run prune-logs | Prune old run logs, keeping only the most recent N |
atris run search | Search phase reasoning across all run logs by keyword |
atris run stats | Show run log stats: phase counts, avg durations |
| atris run export | Export al
Nur der Anfang wird gezeigt; den Rest findest du im Repo