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Diagramport

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/diagramport

Install

Overview

Description from the maker (original English)

Generate Mermaid diagrams and charts from Mermaid syntax, validated locally.

PopNx MCP’s three pillars

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

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: Other

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).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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": {
    "diagramport": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/diagramport",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add diagramport -- npx -y @reneturcios/diagramport mcp

Open in Cursor

Or copy the settings yourself

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

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

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

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.

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CloudCorpRecords, 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 Otheri

  • More stars than 0% of the other 32661 servers in this category
  • Published to the registry more recently than 87% of the other 32661 servers in this category
  • Basic checks equal to or better than 100% of the other 32661 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 Diagramport 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 (0.1.0) reached the registry 5 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, Docker on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Claude Checkpoint MCP

Alternatives

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

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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.

diagramport

diagramport generates Mermaid diagrams and charts from Mermaid syntax. Give it a diagram — graph TD; A-->B; and friends — and it hands back the form you asked for: the syntax itself, a shareable mermaid.ink link, or a rendered image produced by a renderer command you configure on your own machine.

Everything except rendering is local logic that always works: the syntax is validated before anything else happens, and the share links are built from the diagram text without any network call.

Install

npx @reneturcios/diagramport generate --mermaid "graph TD; A-->B;" --output-type mermaid

Or run the container image:

docker run -i ghcr.io/cloudcorprecords/diagramport

The container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead.

CLI

# Validate syntax only (exit 1 with the reason when invalid)

diagramport validate --mermaid "graph TD; A-->B; A-->C; B-->D; C-->D;"

Return the validated syntax

diagramport generate --mermaid "graph TD; A-->B;" --output-type mermaid

Build a shareable mermaid.ink link (SVG or PNG)

diagramport generate --mermaid "graph TD; A-->B;" --output-type svg_url diagramport generate --mermaid "graph TD; A-->B;" --output-type png_url

Render an image (needs DIAGRAMPORT_RENDERER_COMMAND, see below)

diagramport generate --mermaid "graph TD; A-->B;" --output-type base64 diagramport generate --mermaid "graph TD; A-->B;" --output-type file

diagramport --version

Exit codes: 0 on success, 1 when the syntax is invalid or rendering fails (the error names the problem), 2 for usage errors.

MCP server

One bin serves both faces. The mcp subcommand starts a stdio MCP server:

npx -y @reneturcios/diagramport mcp

MCP client configuration:

{

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

Tools
ToolInputWhat it returns
generate_mermaid_diagrammermaid (string, required) — the mermaid diagram syntax; theme (string, optional, default default); backgroundColor (string, optional, default white); outputType (string, optional, default base64) — one of base64, svg, mermaid, file, svg_url, png_urlDepends on outputType: mermaid returns the validated syntax as text; svg_url / png_url return a public mermaid.ink link; base64 returns the rendered PNG image as a base64 encoded string; svg returns the rendered SVG markup; file saves the rendered PNG image to disk and returns its path.

Validation

Syntax is checked locally before any output is produced. The first non-empty line must start with a known diagram type (graph, flowchart, sequenceDiagram, classDiagram, stateDiagram, stateDiagram-v2, erDiagram, journey, userJourney, gantt, pie, gitGraph, mindmap, timeline, quadrantChart, requirementDiagram, C4Context), and quotes and brackets must be balanced (brackets inside a double-quoted label do not count). Invalid syntax is reported as an error naming the reason — it is never passed on to a renderer or a link builder. This is a structural sanity check, not a full Mermaid parse.

Share links

For svg_url and png_url, diagramport builds the link locally: the payload is the base64url encoding of the UTF-8 diagram text, appended to https://mermaid.ink/svg/ (SVG) or https://mermaid.ink/img/ (PNG). Anyone opening the link gets the diagram rendered by mermaid.ink; diagramport itself makes no network call to build it.

Rendering

diagramport bundles no renderer — rendering a diagram to an image needs a Mermaid engine and, typically, a headless browser, which are deliberately left to the operator. The base64, svg, and file output types render through a local command named by the DIAGRAMPORT_RENDERER_COMMAND environment variable. The command receives the diagram text on stdin and must write the rendered image bytes to stdout:

export DIAGRAMPORT_RENDERER_COMMAND="my-mermaid-renderer --format png"

diagramport generate --mermaid "graph TD; A-->B;" --output-type base64

With no renderer configured, those output types return an error naming DIAGRAMPORT_RENDERER_COMMAND. Image bytes are never invented or stubbed. file output is written under DIAGRAMPORT_OUTPUT_DIR when set, otherwise ./diagrams/, with a timestamped .png file name.

Development

npm install

npm run build # tsc -> dist/ npm test # node test runner over test/*.test.ts, no network, fake renderer only npm run dev # run the CLI from source via tsx

License

MIT — see LICENSE.

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