Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Create, read, render, organize, and safely edit persistent Excalidraw diagrams with AI agents.
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.
EXCALIWOW_TOKEN, EXCALIWOW_API_URLAls 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": {
"excaliwow": {
"command": "npx",
"args": [
"-y",
"@excaliwow/mcp"
],
"env": {
"EXCALIWOW_TOKEN": "your-value",
"EXCALIWOW_API_URL": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add excaliwow --env EXCALIWOW_TOKEN=your-value --env EXCALIWOW_API_URL=your-value -- npx -y @excaliwow/mcpTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"excaliwow": {
"command": "npx",
"args": [
"-y",
"@excaliwow/mcp"
],
"env": {
"EXCALIWOW_TOKEN": "your-value",
"EXCALIWOW_API_URL": "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": {
"excaliwow": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@excaliwow/mcp"
],
"env": {
"EXCALIWOW_TOKEN": "your-value",
"EXCALIWOW_API_URL": "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.
EXCALIWOW_API_URL envDiese 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 excaliwow 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: EXCALIWOW_TOKEN
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 (0.14.3) kam vor 3 Monaten 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: Spec Driven Development, Remote Desktop Commander, Starreel
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Turn a script into a finished, downloadable short-drama episode — via MCP or REST.
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.
The Excaliwow Model Context Protocol server — lets an AI agent create, read, render, manage, and edit diagrams in your Excaliwow account through the same public REST API (/api/v1) the CLI uses. It runs over stdio, so any MCP client (Claude Desktop, Claude Code, etc.) can launch it with npx.
The public excaliwow/mcp repository contains distribution metadata and documentation for this package; the hosted application source is not published there.
First mint a Personal Access Token at https://excaliwow.com/app/settings (Settings → Developer / API tokens) with `read` + `write` capabilities — enough for sixteen of the eighteen tools. Add `delete` only if you want the agent to trash and restore diagrams (see Security notes). Pass it as EXCALIWOW_TOKEN.
One command. --scope local stores the server in your own settings, so the token never lands in a file you might commit. Export the token first so the literal PAT never lands in your shell history — --env NAME="$NAME" passes the value through without typing it a second time on the command line:
export EXCALIWOW_TOKEN=excw_pat_…
claude mcp add excaliwow --scope local \ --env EXCALIWOW_TOKEN="$EXCALIWOW_TOKEN" \ -- npx -y @excaliwow/mcp
Add it to your client's config file (e.g. Claude Desktop's claude_desktop_config.json, or your client's MCP settings — see your client's MCP setup docs). The spec is unversioned, so npx -y always launches the latest release — you pick up new tools and fixes automatically, with nothing to bump:
{
"mcpServers": { "excaliwow": { "command": "npx", "args": ["-y", "@excaliwow/mcp"], "env": { "EXCALIWOW_TOKEN": "excw_pat_…" } } } }
The server reads EXCALIWOW_TOKEN per call from the environment (or, if you also use @excaliwow/cli and have run excaliwow auth login, that stored login) and never writes the token to disk itself.
"Not authenticated" / 401 / the agent's tool calls fail. The server starts even without a token (so it can list its tools), so a missing or invalid EXCALIWOW_TOKEN only surfaces when the agent first calls a tool. Starting with no token prints a one-line EXCALIWOW_TOKEN is not set warning to stderr. To check a token directly, run the health probe — it makes one authenticated read and prints a clear verdict (ok, 401 — token is invalid or expired, or could not reach when the API itself is unreachable) and exits with a matching code (0 ok, 1 missing/invalid token, 2 unreachable):
npx -y @excaliwow/mcp --health
| Flag | Effect |
|---|---|
--health | Check the token + API reachability, then exit (0 ok, 1 missing/invalid token, 2 unreachable). |
--version | Print the installed version and exit. |
--help | Print usage (flags + env vars) and exit. |
Eighteen tools, scoped to safe agent use:
| Tool | Capability | What it does | |
|---|---|---|---|
generate_diagram | write | Create a diagram from the high-level node/edge DSL (auto-laid-out); returns the editor URL. Best for quick flowcharts. | |
create_scene | write | Create a rich, hand-authored diagram from a raw Excalidraw scene — full control of layout, style, and typography. | |
read_diagram | read | Compact summary (title + per-type counts) plus a rendered PNG; opt into includeGeometry for a bounds list. | |
get_scene | read | Return a diagram's full raw scene ({ elements, appState }) for editing — read → mutate → regenerate_diagram. | |
export_diagram | read | Render to full-fidelity bytes to save (png base64, or svg as raw text) — the bytes to keep, not a vision image. | |
list_diagrams | read | Page through your diagrams (`filter: active \ | trash`). |
move_diagram | write | Move a diagram to a folder (or to root). | |
edit_diagram | write | Additively merge a DSL fragment (add nodes/edges, update node style/label). | |
regenerate_diagram | write | Replace a diagram's contents in place — from a fresh spec (re-layout) or a raw scene, same id. | |
trash_diagram | delete | Soft-delete a diagram to trash. Reversible (see restore_diagram). | |
restore_diagram | delete | Restore a trashed diagram, reopening it at its original id and URL. | |
lint_diagram | read | Check a diagram for overlaps, clipped labels, out-of-frame elements, and low-contrast text. | |
patch_elements | write | Apply element-addressable deltas (add/update/move/resize/restyle/delete) in place — the cheapest edit path. | |
generate_from_template | write | Create a diagram from a named layout template (swimlane, layered-stack, matrix, container-with-children). | |
list_icons | read | List the curated icons you can embed via an image element + icon- fileId (id + label + category). | |
list_folders | read | List the caller's folders (id + name + parentId) to resolve or discover a folderId. | |
create_folder | write | Create a folder (optionally nested under a parentId) to organize diagrams. | |
rename_diagram | write | Change only a diagram's title, leaving its contents and id/url untouched. |
read_diagram returns a summary + image, never the raw scene JSON, to keep context small. Pass includeGeometry: true to additionally get a compact, bounded { id, type, label, x, y, w, h } list (top-left x/y) so the agent can detect label/box collisions or misplaced nodes programmatically instead of eyeballing the PNG — it is derived from the scene, so it is present even when the render fails, and it is a small fixed-field summary, not the raw element dump. Pass includeScene: 'compact' instead for a bounded, element-addressable projection — a superset of the geometry fields that also carries style, text, and container/binding refs (≤17 fields/element) — the read half of the read_diagram → patch_elements surgical-edit loop. export_diagram returns the rendered bytes to save to a file — png as base64, svg as raw text — distinct from read_diagram, which returns an image block for a vision model to look at. An MCP server runs over stdio and cannot write to your repo, so a client with filesystem access (e.g. Claude Code) decodes and saves the bytes itself. Or skip the round-trip through the model and stream straight to disk with the CLI: excaliwow diagrams render -o docs/architecture.png (or .svg) — also the fallback when a render is too large to return inline.
trash_diagram / restore_diagram are a reversible pair gated on the delete capability — registered always, they return a clean insufficient_scope error (changing nothing) unless the token carries delete, so a read + write token can't trash anything. Hard-delete/purge and making a diagram publicly shareable are deliberately not agent tools — those are irreversible, so a misled agent can't destroy or expose your diagram. Purge or publish from the dashboard or the CLI.
generate_diagram takes the high-level node/edge DSL and auto-lays it out — reach for it when you just want a quick flowchart. create_scene takes a raw, hand-authored Excalidraw scene, so the agent controls every element's position, size, color, stroke, fill, typography, and connections — the path for rich, polished, custom diagrams. You author elements _tersely_ (id, type, geometry, text, colors) and the Excalidraw boilerplate is filled in for you; a fully-specified element (or a pasted .excalidraw scene) is passed through unchanged. To iterate on a rich diagram: get_scene → edit the elements → regenerate_diagram with the edited scene.
The DSL grammar + a worked example are embedded in the generate_diagram tool description, with the full reference served as an MCP resource at `excaliwow://dsl/reference`. The rich-scene authoring primer + a worked example ride in the create_scene description, with the full guide (every element type, all styling props, bindings, groups, frames, palette, and layout/beauty heuristics) at `excaliwow://scene/authoring`.
| Var | Effect |
|---|---|
EXCALIWOW_TOKEN | Required (standalone). Bearer PAT; read per call, never written to disk by this server. |
EXCALIWOW_API_URL | API origin. Default https://excaliwow.com; normally leave unset. |
Node >= 22.11.0. This is a support-policy floor, not a technical one — nothing shipped here uses a Node-22-only API (the code's newest runtime dependency is global fetch, available since Node 18); the floor tracks "current LTS" so npx -y @excaliwow/mcp runs on a Node build we actually test against, and matches @excaliwow/cli's floor. If your MCP client is stuck on an older Node and npx refuses to run this server, that refusal is intentional — upgrade Node rather than treat it as a bug.
.mcp.json, or `claude mcp add --scopeproject) puts the token into git history. Use a user- or local-scoped config (--scope local`), or reference an environment variable instead of pasting the literal token.
~/.zsh_history, ~/.bash_history, …) and briefly in the process list. export EXCALIWOW_TOKEN=… once, then pass it through with `--envEXCALIWOW_TOKEN="$EXCALIWOW_TOKEN" (or pull it from a secrets manager) instead of pasting the PAT into the claude mcp add` command itself.
read + write; a read + write PAT can neither expose your diagrams publicly nor delete them, even if the agent is misled (trash_diagram / restore_diagram simply return insufficient_scope and do nothing). Add the delete capability only if you want the agent to be able to soft-delete and restore — it's reversible, but it's still a capability to grant deliberately. Pick capabilities specifically rather than the coarse read-write preset, which additionally grants publish (and delete).Nur der Anfang wird gezeigt; den Rest findest du im Repo