Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Description from the maker (original English)
Plan optimal container & truck loads: 3D layouts, utilization, centre of gravity, crush checks.
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.
Pick the AI app you use, then copy the settings.
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Works in Claude on the web, desktop and mobile:
https://mcp.loadingmcp.com/mcpRun this in your terminal
claude mcp add --transport http container-loading https://mcp.loadingmcp.com/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"container-loading": {
"url": "https://mcp.loadingmcp.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": {
"container-loading": {
"type": "http",
"url": "https://mcp.loadingmcp.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://mcp.loadingmcp.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.
We have not read this server’s tool list yet; we check endpoints in rotation.
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
The registry name was verified with the GitHub account lxxmng, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
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 (0.3.0) reached the registry 33 days 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: Figma Context MCP, Claude Real Video, Figma MCP Server
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
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
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.
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.
Plan container & truck loads across 200+ equipment types from Claude, Cursor, or any MCP client.
LoadingMCP is a container load-planning MCP server that lets an AI assistant compute 3D load plans, right-size the container mix, and check that a load is legal and safe to ship. It covers 200+ equipment types (containers, trucks, ULDs, pallets) and returns volume & payload utilization, centre of gravity, crush & securing checks, VGM, axle load, and CTU/IMDG compliance signals. It runs as a hosted remote server, so there is nothing to self-host.
Ask your AI: *"Plan a 40HC load for these pallets"* or *"What's the cheapest container mix for 48 m³ at 19 t?"*
Sister product to TrackingMCP (ocean container tracking) and SchedulesMCP (sailing schedules & reliability).
| Tool | What it does |
|---|---|
list_equipment | List the container, truck, ULD, and pallet types LoadingMCP can plan into, with internal dimensions (mm) and max payload (kg). |
suggest_containers | Quick volume + weight estimate of how many of which container to use, given total cargo volume (m³) and weight (kg). |
plan_load | Compute a 3D load plan: equipment used, utilization (volume & payload %), centre of gravity, crush-protection violations, and a securing checklist. Cargo type drives realism (drums/pipes hex-nest, big bags load on top). Omit the equipment code to auto right-size. |
export_plan | Export a machine-readable loading work order: numbered stuffing sequence (which SKU, where, in what order and orientation), securing/bracing actions, declarable VGM / axle / CoG figures, and an optional retailer (Amazon FBA / Walmart) inbound-packaging check. |
The server is hosted at https://mcp.loadingmcp.com/mcp. Try it with zero signup using the public demo key lmcp_demo_public (clearly-labelled synthetic plans from the offline preview packer). A real API key runs the full 200+ equipment catalogue and the production PackingSolver optimizer.
{
"mcpServers": { "container-loading": { "command": "npx", "args": ["-y", "mcp-remote", "https://mcp.loadingmcp.com/mcp", "--header", "Authorization: Bearer lmcp_demo_public"] } } }
{
"mcpServers": { "container-loading": { "url": "https://mcp.loadingmcp.com/mcp", "headers": { "Authorization": "Bearer lmcp_demo_public" } } } }
Replace lmcp_demo_public with a key from loadingmcp.com/mcp. Don't add "type": "streamable-http" — Claude Desktop rejects unknown config fields; Cursor/Windsurf infer transport from url. Registry ID: io.github.lxxmng/container-loading.
Demo output is synthetic and clearly labelled. export_plan is decision support to help you MEET published retailer/carrier specs — verify in your own portal; it is not a retailer certification.
MIT