dgmo-mcp
Official# @diagrammo/dgmo-mcp
**Turn a conversation into a real diagram — without leaving your AI tool.**
[](https://www.npmjs.com/package/@diagrammo/dgmo-mcp)
[](https://www.npmjs.com/package/@diagrammo/dgmo-mcp)
[](./LICENSE)
This MCP server gives Claude (and any MCP-compatible AI tool) the ability to render
**sequence diagrams, flowcharts, ER diagrams, C4 architecture, gantt charts, and 40+
other chart types** from concise text markup — then hand the result off to a full
editor for refinement. Ask for a diagram in chat; get a real one back.
<table>
<tr>
<td width="50%"><img src="https://raw.githubusercontent.com/diagrammo/dgmo-mcp/main/assets/sequence.png" alt="Sequence diagram" /></td>
<td width="50%"><img src="https://raw.githubusercontent.com/diagrammo/dgmo-mcp/main/assets/c4.png" alt="C4 architecture diagram" /></td>
</tr>
<tr>
<td width="50%"><img src="https://raw.githubusercontent.com/diagrammo/dgmo-mcp/main/assets/gantt.png" alt="Gantt chart" /></td>
<td width="50%"><img src="https://raw.githubusercontent.com/diagrammo/dgmo-mcp/main/assets/flowchart.png" alt="Flowchart" /></td>
</tr>
</table>
## What you can do
Ask in plain language — _"diagram the auth flow as a sequence"_, _"chart the Q3 plan as
a gantt"_, _"draw our services as a C4 diagram"_ — and Claude writes the markup and
renders it. The markup stays readable and diffable:
```
flowchart Mutiny Resolution
direction-tb
[Sail] Set sail under the captain
{Trouble?} Discontent in the crew?
{Vote} Crew vote called
[Mutiny] Seize the ship
(Sail) -> (Trouble?)
(Trouble?) -Yes-> (Vote)
(Vote) -Mutiny-> (Mutiny)
```
→ renders to the flowchart above. All rendering happens **locally** — no diagram data
leaves your machine.
## Tools
| Tool | What it does | Over HTTP |
| ------------------------ | --------------------------------------------------------------------------- | --------- |
| `render_diagram` | Render DGMO markup to **SVG or PNG** | yes |
| `validate_diagram` | Check markup and report parse errors, without rendering | yes |
| `suggest_chart_type` | Suggest the chart types that fit a description | yes |
| `list_chart_types` | List all supported chart types, marking the beta ones | yes |
| `get_language_reference` | Get DGMO syntax documentation for accurate generation | yes |
| `get_examples` | Fetch worked examples for a chart type | yes |
| **`share_diagram`** | Get a shareable **diagrammo.app** URL — hand your diagram to the web editor | yes |
| **`open_in_app`** | Open the diagram **straight into the Diagrammo desktop app** for editing | no |
| `check_app_installed` | Report whether the desktop app is installed | no |
| `preview_diagram` | Render one or more diagrams and open an **HTML preview** in the browser | no |
| `generate_report` | Build a polished **multi-section HTML report** with ToC and optional source | no |
`share_diagram` and `open_in_app` are the bridge out of chat: a diagram Claude generates
becomes something you can refine, restyle, and embed — see below.
The four marked **no** open a browser or launch the desktop app. Over HTTP that would
happen on the machine running the server rather than on yours, so they are not offered
there — see [Serving over HTTP](#serving-over-http).
## Beyond the MCP server
The MCP server is one entry point into **[Diagrammo](https://diagrammo.app)** — a whole
ecosystem built on the same DGMO markup. Generate in chat, refine in a real editor,
embed anywhere:
- **[diagrammo.app](https://diagrammo.app)** — the desktop app. `open_in_app` drops an
AI-generated diagram straight into it, with live preview, palettes, and export.
- **[online.diagrammo.app](https://online.diagrammo.app)** — a full editor in the
browser, zero install. `share_diagram` URLs open right here.
- **Docs integrations** — drop DGMO fenced code blocks into your docs site:
[remark-dgmo](https://www.npmjs.com/package/remark-dgmo),
[astro-dgmo](https://www.npmjs.com/package/astro-dgmo),
[docusaurus-plugin-dgmo](https://www.npmjs.com/package/docusaurus-plugin-dgmo),
[fumadocs-dgmo](https://www.npmjs.com/package/fumadocs-dgmo).
- **Obsidian** — the _Diagrammo Diagrams_ community plugin renders DGMO in your vault.
- **CLI** — `npx @diagrammo/dgmo-cli file.dgmo -o out.png`, or install via Homebrew.
> **One markup, everywhere.** A diagram you generate here renders identically in the
> app, in your docs, and in Obsidian — because they all speak DGMO.
**[→ Try it free at diagrammo.app](https://diagrammo.app)**
## Setup
### Easiest — one command
Install the [`dgmo`](https://www.npmjs.com/package/@diagrammo/dgmo-cli) CLI and let it wire everything up:
```bash
npm install -g @diagrammo/dgmo-cli # or: brew install diagrammo/dgmo/dgmo
dgmo install # auto-detects Claude Code, Codex, Claude Desktop, Cursor, …
```
`dgmo install` configures each detected assistant non-interactively and points it at `dgmo mcp`, so there's no separate package to install or prompts to answer. Target one surface with `dgmo install claude-code` (or `codex`, `claude-desktop`, …).
### Manual configuration
Prefer to edit configs yourself? Point any MCP client at the server via `npx` (no global install needed):
**Claude Code** — `.claude/settings.local.json`; **Claude Desktop** — `~/Library/Application Support/Claude/claude_desktop_config.json`:
```json
{
"mcpServers": {
"dgmo": {
"command": "npx",
"args": ["-y", "@diagrammo/dgmo-mcp"]
}
}
}
```
If you have the `dgmo` CLI installed, `{ "command": "dgmo", "args": ["mcp"] }` works too. Restart the client after saving — the tools appear automatically.
### Serving over HTTP
The setups above launch the server as a child process and talk to it over its standard
input and output. That needs the server and the client on the same machine. Where they
are not — a hosted agent platform, a container, one server shared by several people —
start it as an HTTP endpoint instead:
```bash
npx -y @diagrammo/dgmo-mcp --http # http://127.0.0.1:3333/mcp
MCP_TRANSPORT=http MCP_PORT=8080 npx -y @diagrammo/dgmo-mcp
```
Every option takes a flag or an environment variable, whichever your setup can express:
| Flag | Variable | Default | What |
| -------------------- | --------------------- | ----------- | ------------------------------------------ |
| `--http` | `MCP_TRANSPORT=http` | off | Serve streamable HTTP instead of stdio |
| `--port <n>` | `MCP_PORT` | `3333` | Port to listen on |
| `--host <addr>` | `MCP_HOST` | `127.0.0.1` | Interface to bind |
| `--path <path>` | `MCP_PATH` | `/mcp` | Path the endpoint answers on |
| `--allow-host <h>` | `MCP_ALLOWED_HOSTS` | loopback | Extra `Host` headers to accept, repeatable |
| `--allow-origin <o>` | `MCP_ALLOWED_ORIGINS` | unset | `Origin` headers to accept, repeatable |
Each request is served independently — no sessions, nothing kept between calls — so one
endpoint can serve several clients at once.
> **The server has no authentication of its own.** It binds loopback by default and
> rejects requests carrying a `Host` header it was not told to expect, which is enough
> for a client on the same machine or inside the same container. Anything reachable from
> a wider network needs your own authentication in front of it, and `--allow-host` for
> the hostname it will be reached by. Binding a non-loopback interface without naming a
> host prints a warning saying so.
`--help` prints all of this from the installed version.
## Privacy
All rendering is **local**. Your diagram markup and the images it produces never leave
your machine, except when you explicitly call `share_diagram` (which encodes the diagram
into a diagrammo.app URL). See the [privacy terms](https://diagrammo.app/terms#mcp-privacy).
## Dev hub (AI-tuning tools)
```bash
pnpm hub
```
One command, one server, one browser tab. The hub opens a tabbed shell over the
three AI-tuning dev tools — switch between them with the top tabs, no separate
ports or commands to remember:
- **Trigger tuning** — edit the phrase/concept vocabulary that drives
`suggest_chart_type`, score prompts live, save back to `triggers.json`.
- **LLM judge** — judge chart-type descriptions against prompts with `claude -p`.
- **Guidance studio** — author the per-type **styling guidance** the server
delivers (the `<!-- TIPS -->` blocks in dgmo's `language-reference.md`, sliced
into `get_language_reference`): pick a type, edit how the AI is told to style
it, run a prompt against a committed dataset fixture (so inputs never move
between runs), and see the generated DGMO + rendered image side by side. The
picker doubles as a coverage bar; "Compare 3×" renders no-guidance vs your
tips for a by-eye check; Save validates and writes back to
`language-reference.md`.
These tools are dev-only and never bundled into the published server. (The
standalone `pnpm harness` and `pnpm studio` scripts still run a single tool each
if you ever want one in isolation.)
## Contributing & releases
Development setup and the release workflow live in [CONTRIBUTING.md](./CONTRIBUTING.md).
## License
MIT
TDQS
Scored across 11 tools
Each tool targets a distinct phase of the diagram workflow: validation, rendering, previewing, sharing, app integration, reference lookup, and chart suggestion. There is some adjacency between render_diagram, preview_diagram, and generate_report, but their output formats and purposes are clearly separated.
All tool names follow a consistent verb_noun pattern using lowercase snake_case: render_diagram, share_diagram, list_chart_types, suggest_chart_type, validate_diagram. There are no style deviations or vague verbs.
Eleven tools cover the full DGMO workflow from language reference and chart suggestion through validation, rendering, preview, report generation, and sharing. The count feels intentional and well-scoped for the domain.
The tool surface covers the complete diagram lifecycle: learn syntax, pick a chart type, get examples, validate, render to multiple formats, preview, generate reports, share, and open in the desktop app. No obvious dead ends; each workflow path has supporting tools.