Next AI Draw.io
draw.io diagrams your AI agent draws on a live browser canvas that you can also edit by hand
Description from the maker (original English)
Supply-chain network design via simulation, optimization, and greenfield analysis.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Works in Claude on the web, desktop and mobile:
https://scmodeling.com/mcpRun this in your terminal
claude mcp add --transport http public https://scmodeling.com/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"public": {
"url": "https://scmodeling.com/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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"public": {
"type": "http",
"url": "https://scmodeling.com/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.
ChatGPT connects only to servers on the internet:
https://scmodeling.com/mcpMenu names can differ slightly by plan and over time.
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.
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Connect over the internet in
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
Tool names and descriptions exactly as the server reported them on Nov 10, 2026. The maker wrote them, not us; we show them as plain text.
list_modelsList the sample supply chain models run_simulation has a saved engine run for, with each model's id and a short description.
run_simulationReturn the saved SC Builder engine run of a sample supply chain model: metrics, orders, shipments, routing and inventory series, verbatim. This server runs no engine; a model without a saved run answers 'not available here'. Quote the numbers verbatim.
get_sc_theoryReference text from the SC Builder engine: event-driven model, ordering policies (pull, push, planned), the forecast-demand and order-point formulas, bill of materials, routing and supplier selection. Static text.
explain_simulationPrimer on supply chain simulation: when to simulate, optimize or both, how a discrete-event network model works, which numbers the engine reports, and the limits of a single run. Static text; call run_simulation for figures.
explain_optimizationPrimer on supply chain network optimization: mixed-integer programming, decision variables and constraints, landed-cost objectives, the common problem classes, and when to optimize versus simulate. Static text.
explain_greenfieldPrimer on greenfield analysis: center-of-gravity (Weber) siting, Weiszfeld's algorithm, location-allocation for N facilities, service constraints, and when to use greenfield versus facility selection. Static text.
list_opt_demosList the saved optimization demos (Tariff sourcing, Coffee co-pack siting, Safety Stock Optimization) with an id and summary each. Use before describe_opt_demo or get_opt_result.
describe_opt_demoDetail on one optimization demo: what it shows, its source, and every saved scenario key. Use before get_opt_result.
get_opt_resultReturn the saved optimization result for one scenario of a demo, verbatim: sourcing, production and transport decisions, costs, and facility open/close decisions. Call describe_opt_demo first for the valid scenario keys. Quote the numbers verbatim.
list_greenfield_demosList the saved greenfield siting demos with an id and summary each. Use before describe_greenfield_demo or get_greenfield_result.
describe_greenfield_demoDetail on one greenfield demo: region, customer count, the saved DC counts and the score curve. Use before get_greenfield_result.
get_greenfield_resultReturn the saved greenfield result for one DC count, verbatim: the sited DCs (lat/lon, nearest city) and which customers each serves. Quote the numbers verbatim.
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 11, 2026
The registry lists no source repo, so we cannot match the publisher (scmodeling.com) to the code
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
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Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 2 of 3 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 6 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Next AI Draw.io, Pascal 3D Editor, screenpipe
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
draw.io diagrams your AI agent draws on a live browser canvas that you can also edit by hand
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Search your local screen recordings, audio transcripts, and computer activity from screenpipe.
No README found in the repo