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)
Ocean data for any coast or sea, Australian marine park facts and Marxan reserve design.
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://biohotspot.ai4wa.com/mcpRun this in your terminal
claude mcp add --transport http biohotspot https://biohotspot.ai4wa.com/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"biohotspot": {
"url": "https://biohotspot.ai4wa.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": {
"biohotspot": {
"type": "http",
"url": "https://biohotspot.ai4wa.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://biohotspot.ai4wa.com/mcpMenu names can differ slightly by plan and over time.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.
look_hereList every Biohotspot map layer with data within `km` of a point on the sea (a place being studied, not the user's location): habitats, wildlife, human uses, protected areas and world ocean maps, with a few values from each. Read-only. Use it to learn what a place holds.
look_in_areaList every Biohotspot map layer with data inside a polygon on the sea, with a few values from each. Read-only.
understand_areaCheck an area against its protection targets: which habitats it holds, how much of each, what is already protected, and how far each habitat is from its target. Give a polygon, or a point and radius_km. Outside Biohotspot's local planning data the answer comes from world maps and
simulateRun the Marxan optimiser on the example project's planning data (Exmouth Gulf, Western Australia only): the cheapest set of planning squares that meets every habitat target. `protect` = planning-square ids always included (understand_area returns them as `pus`); `target_pct` = on
find_layersFind Biohotspot map layers by words (e.g. 'seagrass', 'coral bleaching') among its 1,600+ world layers. Returns ids, names, categories and licences (25 by default); vector layers can then be read with get_features. Read-only.
get_featuresGet a vector layer's features as GeoJSON from Biohotspot's OGC API, optionally inside a bounding box [west, south, east, north]; up to `limit` features (500 by default, 5,000 at most). Collection ids: find_layers ids, or exmouth_ for the example project's open layers. Read-only.
get_marine_parkGet the facts about an Australian marine park from its Biohotspot page: area, IUCN categories and named zones (CAPAD 2024), habitats, blue carbon and pressures measured inside it, each with its source and licence, and the page's address. Give part of the park's name; `state` (wa,
search_papersSearch Biohotspot's research library (more than 5,200 papers and reports on coasts and marine habitats) for the words; returns titles, years and DOI links where known (10 by default, 50 at most). Read-only.
list_projectsList your Biohotspot projects and the ones shared with you: name, area, your role and how complete their data is. Read-only.
get_projectGet one of your projects: its area (GeoJSON), its data check (each data type covered, partial or missing) and your role. Read-only.
list_project_dataList the data a project's team added, with each file's status (receiving, checked, ready, failed). Read-only.
add_project_dataAdd data to a project from a public download link (GeoPackage, zipped Shapefile, GeoJSON, KML, CSV with coordinates or GeoTIFF, up to 200 MB): your own model's output, a survey, a map. Side effect: the file is downloaded, stored and added to the project, where its team can see it
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
The publisher (PascalSun) is not the repo owner (PascalSun); someone else may have listed it
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
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Read 12 tool descriptions and found no hidden instructions to the AI
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 (0.3.0) reached the registry 8 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.
No README found in the repo