mcpField
E
Excaliwow

Excaliwow

Local
github.com/excaliwowMedia & Design0Updated 12w ago

About Excaliwow

Excaliwow is an MCP server for AI agents to manage Excalidraw diagrams in an Excaliwow account. It supports both auto-laid-out DSL diagrams and hand-authored scene editing, with reversible soft deletion and capability-scoped access for users working with diagrams.

Key features

  1. 01Create, read, and render diagrams
  2. 02Generate auto-laid-out DSL diagrams
  3. 03Edit raw Excalidraw scenes
  4. 04Organize diagrams and folders
  5. 05Check diagrams for layout issues
  6. 06Gate soft deletion by capability

Use cases

  1. 01Generate a flowchart from a brief specification
  2. 02Fine-tune diagram layout and styling
  3. 03Check diagrams for overlaps or clipped labels
  4. 04Organize and restore trashed diagrams

MCP support

The stdio MCP server uses Excaliwow's REST API to operate on diagrams in an account. A personal access token is required; read/write tools use their respective scopes, while soft deletion and restoration require the additional delete capability.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"excaliwow": {
"command": "npx",
"args": [
"-y",
"@excaliwow/mcp"
],
"env": {
"EXCALIWOW_TOKEN": "<EXCALIWOW_TOKEN>",
"EXCALIWOW_API_URL": "<EXCALIWOW_API_URL>"
}
}
}
}
Run commandnpx -y @excaliwow/mcp
Environment variables to set
EXCALIWOW_TOKENSecretExcaliwow Personal Access Token with read and write capabilities. Add delete only for trash and restore tools.
EXCALIWOW_API_URLOptional Excaliwow API origin. Leave unset to use https://excaliwow.com.

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@excaliwow/mcp0.14.3

Tools

18

Saved tool list · updated 3w ago

ParameterTypeRequiredDescription
specanyYesdiagram specification containing nodes, optional edges, and layout instructions
titlestringYeshuman-readable diagram title shown in the Excaliwow workspace and editor
folderIdstring|nullNodestination folder id from list_folders (create one with create_folder); null or omitted = the root.

Details

From the project README

@excaliwow/mcp

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.

Install

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.

Claude Code (CLI)

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
Claude Desktop (and other JSON-config clients)

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.

Troubleshooting

"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 <url> 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
CLI flags
FlagEffect
--healthCheck the token + API reachability, then exit (0 ok, 1 missing/invalid token, 2 unreachable).
--versionPrint the installed version and exit.
--helpPrint usage (flags + env vars) and exit.

Tools

Eighteen tools, scoped to safe agent use:

ToolCapabilityWhat it does
generate_diagramwriteCreate a diagram from the high-level node/edge DSL (auto-laid-out); returns the editor URL. Best for quick flowcharts.
create_scenewriteCreate a rich, hand-authored diagram from a raw Excalidraw scene — full control of layout, style, and typography.
read_diagramreadCompact summary (title + per-type counts) plus a rendered PNG; opt into includeGeometry for a bounds list.
get_scenereadReturn a diagram's full raw scene ({ elements, appState }) for editing — read → mutate → regenerate_diagram.
export_diagramreadRender to full-fidelity bytes to save (png base64, or svg as raw text) — the bytes to keep, not a vision image.
list_diagramsreadPage through your diagrams (filter: active | trash).
move_diagramwriteMove a diagram to a folder (or to root).
edit_diagramwriteAdditively merge a DSL fragment (add nodes/edges, update node style/label).
regenerate_diagramwriteReplace a diagram's contents in place — from a fresh spec (re-layout) or a raw scene, same id.
trash_diagramdeleteSoft-delete a diagram to trash. Reversible (see restore_diagram).
restore_diagramdeleteRestore a trashed diagram, reopening it at its original id and URL.
lint_diagramreadCheck a diagram for overlaps, clipped labels, out-of-frame elements, and low-contrast text.
patch_elementswriteApply element-addressable deltas (add/update/move/resize/restyle/delete) in place — the cheapest edit path.
generate_from_templatewriteCreate a diagram from a named layout template (swimlane, layered-stack, matrix, container-with-children).
list_iconsreadList the curated icons you can embed via an image element + icon-<name> fileId (id + label + category).
list_foldersreadList the caller's folders (id + name + parentId) to resolve or discover a folderId.
create_folderwriteCreate a folder (optionally nested under a parentId) to organize diagrams.
rename_diagramwriteChange 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 <id> -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.

Two authoring paths

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.

Discovery resources

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.

Environment variables

VarEffect
EXCALIWOW_TOKENRequired (standalone). Bearer PAT; read per call, never written to disk by this server.
EXCALIWOW_API_URLAPI origin. Default https://excaliwow.com; normally leave unset.

Requirements

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.

Security notes

  • Keep the token out of anything you commit. A project-scoped config that lives in the repo (a committed .mcp.json, or claude mcp add --scope project) 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.
  • Typing the literal token on a command line puts it in your shell history (~/.zsh_history, ~/.bash_history, …) and briefly in the process list. export EXCALIWOW_TOKEN=… once, then pass it through with --env EXCALIWOW_TOKEN="$EXCALIWOW_TOKEN" (or pull it from a secrets manager) instead of pasting the PAT into the claude mcp add command itself.
  • Mint with read + write (add delete only if you want trash/restore). Sixteen of the eighteen tools need just 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).
  • The token is a credential to your account. It lives only in your MCP client config / environment; this server does not persist it. Treat that config the way you'd treat any secrets file.

Support

Found a bug or have a question? See excaliwow.com/docs/mcp or reach us at excaliwow.com/contact.

License

Apache-2.0 — see LICENSE and NOTICE.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.