Archform

Name: Archform
Author: himanshu-mamgain

by himanshu-mamgainversion 0.2.2i★ –iRuns on your computer

Registry nameio.github.himanshu-mamgain/archform

Install

Overview

Description from the maker (original English)

Render and validate diagrams as code: Mermaid, PlantUML, C4, Graphviz, D2 and more.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 68/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Design, images & audio

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: KROKI_URL

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "archform": {
      "command": "npx",
      "args": [
        "-y",
        "@archform/mcp"
      ],
      "env": {
        "KROKI_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add archform --env KROKI_URL=your-value -- npx -y @archform/mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "archform": {
      "command": "npx",
      "args": [
        "-y",
        "@archform/mcp"
      ],
      "env": {
        "KROKI_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "archform": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@archform/mcp"
      ],
      "env": {
        "KROKI_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

KROKI_URL env
Kroki server used for rendering. Defaults to the public https://kroki.io; set it to a self-hosted instance to keep diagram source private.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account himanshu-mamgain, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

More stars than 0% of the other 2805 servers in this category
Published to the registry more recently than 63% of the other 2805 servers in this category
Basic checks equal to or better than 100% of the other 2805 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Archform safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.2) reached the registry 19 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

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Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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by GLipsWidely used↓ 161.2K/wk★ 16.2KUpdated 5 months ago

Runs on your computer

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Claude Real Video

Let any LLM watch a video locally — and search everything it has ever watched.

by HUANGCHIHHUNGLeoWidely used↓ 1.1K/wk★ 2.3KUpdated 2 months ago

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Figma MCP Server

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

by figmaWidely used★ 2.2KUpdated 13 months ago

Runs in the cloud✓ mcp.figma.com

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

@archform/mcp

An MCP server that lets AI assistants render and validate diagrams as code: Mermaid, PlantUML, C4-PlantUML, Graphviz, D2, Structurizr, BPMN and Excalidraw.

It works in Claude Desktop, Claude Code, Cursor and VS Code over stdio, and in ChatGPT developer mode as a remote Streamable HTTP endpoint.

Example

The assistant writes diagram source like this D2:

direction: right

user: User {shape: person} ai: AI assistant mcp: Archform MCP kroki: Kroki {shape: cylinder} user -> ai: "draw our architecture" ai -> mcp: render_diagram mcp -> kroki: diagram source kroki -> mcp: SVG / PNG mcp -> ai: image + share link

render_diagram turns it into an image and a share link. The image below is that link:

Try it: once Archform is connected, ask your assistant:

Draw a C4 context diagram of a URL shortener.

Or *"Turn schema.prisma into an ER diagram"*, or *"Draw a sequence diagram of our login flow"*.

Privacy: rendering is done by Kroki. By default, diagram source is sent to the public kroki.io service. If your diagrams describe anything you would not paste into a public website, self-host Kroki and set KROKI_URL.

Tools

All tools are read-only (readOnlyHint: true, openWorldHint: true).

Tool	Input	Result
`list_formats`	none	Every supported format with aliases, outputs, a docs link and a minimal valid example
`render_diagram`	`format`, `source` (≤ 100 KB), `output` (`svg` default, or `png`)	SVG as an embedded `image/svg+xml` resource, or PNG as image content, plus a shareable kroki.io link. Invalid source returns `isError: true` with the parser message and line
`validate_diagram`	`format`, `source`	`{ valid, errors: [{ line?, message }] }`. An invalid diagram is a normal result, not a tool error

Formats

Format	Aliases	Outputs
`mermaid`		svg, png
`plantuml`		svg, png
`c4plantuml`		svg, png
`graphviz`	`dot`	svg, png
`d2`		svg
`structurizr`		svg, png
`bpmn`		svg
`excalidraw`		svg

Use it locally (stdio)

Requires Node.js 22 or later.

Claude Desktop: add to claude_desktop_config.json:

"mcpServers": { "archform": { "command": "npx", "args": ["-y", "@archform/mcp"] } } }

Claude Code:

claude mcp add archform -- npx -y @archform/mcp

Cursor: add to ~/.cursor/mcp.json (or .cursor/mcp.json in a project):

"mcpServers": { "archform": { "command": "npx", "args": ["-y", "@archform/mcp"] } } }

VS Code: add to .vscode/mcp.json:

"servers": { "archform": { "type": "stdio", "command": "npx", "args": ["-y", "@archform/mcp"] } } }

To use your own Kroki, add "env": { "KROKI_URL": "https://kroki.internal.example.com" } to the server entry.

Run it remotely (Streamable HTTP)

npx -y @archform/mcp --http --port 3000

POST /mcp: MCP traffic (stateless)
GET /health: health check

By default the server binds to 127.0.0.1 and rejects requests whose Host or Origin is not localhost (DNS rebinding protection). To expose it publicly, for example for ChatGPT developer mode, bind to all interfaces and name your public hostname:

HOST=0.0.0.0 ALLOWED_HOSTS=mcp.example.com TRUST_PROXY=1 RATE_LIMIT_PER_CLIENT=0 PORT=8080 npx -y @archform/mcp --http

Then add https://mcp.example.com/mcp as a connector in ChatGPT (Settings → Connectors, developer mode) with no authentication. Serve it behind HTTPS.

Limits

The HTTP endpoint limits request bodies to 512 KB and counts tool calls, not HTTP requests. A session's initialize and tools/list requests are not counted.

Overall: RATE_LIMIT (default 120 per minute) caps tool calls from all clients combined. Size it to what your Kroki backend can handle. The default is polite to the public kroki.io; raise it for a self-hosted Kroki.
Per client: RATE_LIMIT_PER_CLIENT (default 60 per minute) stops one client from using the whole budget. ChatGPT calls your server from OpenAI's servers, so all ChatGPT users share a handful of IPs, and this limit applies to them together. On a deployment that mainly serves ChatGPT, set RATE_LIMIT_PER_CLIENT=0 (as in the example above) or make it equal to RATE_LIMIT, so ChatGPT users can use the whole overall budget.
Behind a proxy: most hosts (Render, Fly.io, Railway, Cloud Run) put a proxy in front of your app, so every request seems to come from the proxy's address. Set TRUST_PROXY=1 (the number of proxies in front of the server) so the limiter uses the address your proxy added to X-Forwarded-For. Leave it unset when clients connect directly. Clients can write anything into that header, so it is ignored unless TRUST_PROXY is set.

When a single tool call is over a limit, the model gets a normal tool result with isError: true and a message like "Rate limit reached: … Retry in 42s.", so it can tell the user to wait. An HTTP 429 would show up only as a generic connector failure. Batched or malformed requests over the limit get 429 with Retry-After.

The counters are in memory, so each instance enforces its own limits.

Configuration

Flag / variable	Default	Meaning
`--http`	off	Serve Streamable HTTP instead of stdio
`--port`, `PORT`	`3000`	HTTP port
`--host`, `HOST`	`127.0.0.1`	HTTP bind address
`ALLOWED_HOSTS`		Comma-separated `Host` values accepted on a public bind
`RATE_LIMIT`	`120`	Tool calls per minute across all clients; `0` disables
`RATE_LIMIT_PER_CLIENT`	`60`	Tool calls per minute per client IP; `0` disables
`TRUST_PROXY`	`0`	Number of reverse proxies whose `X-Forwarded-For` entries are trusted (`true` = 1)
`KROKI_URL`	`https://kroki.io`	Kroki server used for rendering and share links

Self-hosting Kroki

Kroki ships as Docker images. The core image covers PlantUML, C4-PlantUML, Graphviz, D2 and Structurizr; Mermaid, BPMN and Excalidraw each need a companion container:

# docker-compose.yml

services: kroki: image: yuzutech/kroki ports: ["8000:8000"] environment: KROKI_MERMAID_HOST: mermaid KROKI_BPMN_HOST: bpmn KROKI_EXCALIDRAW_HOST: excalidraw mermaid: image: yuzutech/kroki-mermaid bpmn: image: yuzutech/kroki-bpmn excalidraw: image: yuzutech/kroki-excalidraw

docker compose up -d

KROKI_URL=http://localhost:8000 npx -y @archform/mcp

Shareable links then point at your Kroki instance, so they only open for people who can reach it. See the Kroki installation docs for details.

Development

pnpm install

pnpm test # unit + in-process integration tests (Kroki stubbed) KROKI_LIVE=1 pnpm test # also run the live tests against KROKI_URL pnpm build npx @modelcontextprotocol/inspector node dist/index.js # stdio node dist/index.js --http # then point the Inspector at http://127.0.0.1:3000/mcp

License

MIT

Archform

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

@archform/mcp

Example

Tools

Formats

Use it locally (stdio)

Run it remotely (Streamable HTTP)

Limits

Configuration

Self-hosting Kroki

Development

License