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Openflowkit MCP

by openflowkitversion 0.2.4i★ –iRuns on your computer
Registry nameio.github.openflowkit/openflowkit-mcp

Install

Overview

Description from the maker (original English)

Architecture diagrams for your agent: draw on the live OpenFlowKit canvas or edit diagram files.

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": {
    "openflowkit": {
      "command": "npx",
      "args": [
        "-y",
        "openflowkit",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add openflowkit -- npx -y openflowkit mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "openflowkit": {
      "command": "npx",
      "args": [
        "-y",
        "openflowkit",
        "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": {
    "openflowkit": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "openflowkit",
        "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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account openflowkit, 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 32433 servers in this category
  • Published to the registry more recently than 61% of the other 32433 servers in this category
  • Basic checks equal to or better than 100% of the other 32433 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 Openflowkit MCP 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 (0.2.4) reached the registry 24 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: Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops

Alternatives

Servers in the same category from other makers, sorted by stars.

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

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

Runs in the cloud★ 211Updated yesterday
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.

OpenFlowKit

Architecture diagrams you draw, write as code, or hand to your agent.

Free, open source and local-first. Paste a GitHub repo and get its map, every arrow cited to a line of code.

Open the app · Docs · MCP setup · Discussions · Issues

Why OpenFlowKit

1. Your agent draws on your canvas, live

Connect Claude Code, Cursor or any MCP client and ask for a diagram. The agent reads the page, draws, restyles and takes a screenshot to check its own work while you watch. Every change it makes is one undo step, like your own. Connect your agent ↓

2. Text and canvas are the same diagram
flowchart right

Client [blue] -> "API Gateway" [emerald] : HTTPS "API Gateway" -> Queue [queue, amber] Queue -> Worker Worker -> Store [cylinder, red, bold]

Open the code panel ( ⌥C ), paste this into it and press ⌘↵ . Drag things around on the canvas or edit the text; ⌘↵ regenerates the frame from the text as one undo step. Paste Mermaid, Structurizr or D2 and it converts.

3. Paste a GitHub repo, get its map

Type owner/repo into the box on an empty canvas and press Map repo, or open app.openflowkit.com/#/map/github/ / (try a sample). Your browser reads the repo from GitHub and draws its parts. Boxes open in place, and every arrow lists the file:line behind it, linked to the code. No key and no install. For a private repo, add a read-only GitHub token on the page, or map a checkout: npx openflowkit map . --html map.html (private repos).

4. Export it, including the animation

PNG, SVG, PDF, JSON, or Copy as Mermaid for a README. Add an animate block to the text above to name the steps, and the export renders animated SVG, GIF, MP4 or WebM in your browser.

animate build 6s loop {

step Client step Client -> "API Gateway" : HTTPS step Queue, Worker step Store hold 2s }

That animation is the two snippets above, exported by the app as an animated SVG. GitHub plays it like an image.

Ten diagram types, one language

Every type is the same short, forgiving text, with per-line errors that say how to fix them. Each picture below is the first example on its docs page, rendered by the openflowkit CLI.

Architecture · cloud icons, groups, a C4 model with views

Sequence · alt / opt / loop, notes, activations

Flowchart · shapes, decisions, groups

ERD · columns, keys, crow's-foot cardinality

State · start and end, composite states

Class · members, stereotypes, relations

Mind map · indentation is the tree

Git graph · branches, merges, tags

Chart · data written as text, editable in a table

Wireframe · 35 controls on phone, tablet or desktop screens

The language is versioned and written down in one file: [src/dsl/grammar.md](src/dsl/grammar.md) (docs). The same text powers the code panel, the assistant, the MCP tools and the CLI.

Quick start

In the browser: app.openflowkit.com. Nothing to install, no account.

In a terminal: npx openflowkit (Node 20.11+).

Run it locally (Node 22.22+):

git clone https://github.com/openflowkit/openflowkit.git

cd openflowkit npm install && npm run dev # http://localhost:3000

Connect your agent

OpenFlowKit has one set of agent tools. Pick the row for where your agent runs:

Your agent runs…How to connectWhat it can do
On your computer: Claude Code, Cursor, VS Code, Claude Desktop, WindsurfThe MCP server, belowEverything: draws on your open canvas (one undo step per change), edits .openflow.json files in your repo, maps a codebase, takes screenshots
In a chat app: claude.ai, Claude Desktop, ChatGPTAdd a custom connector: https://mcp.openflowkit.com/mcp, choose No sign-inDraws a diagram in the chat as a card, with Open in OpenFlowKit. Not on your open canvas
In your browser (experimental)Nothing to install: open a diagram in a browser whose agent supports WebMCPReads and edits the diagram you have open

For Claude Code, one line:

claude mcp add -s user openflowkit -- npx -y openflowkit mcp

For Codex: codex mcp add openflowkit -- npx -y openflowkit mcp.

For Claude Desktop, Windsurf and any other MCP client:

{

"mcpServers": { "openflowkit": { "command": "npx", "args": ["-y", "openflowkit", "mcp"] } } }

Restart the agent, then click Connect agent in the app, or open app.openflowkit.com/#/connect. That panel has the steps for each client and copies the same config with a pairing token. With no app open, the same tools edit .openflow.json files in your repo. Every client, step by step, with fixes: Connect your agent.

Plugi

Only the beginning is shown; read the rest in the repo

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