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)
Elevation, slope, terrain maps and 3D surfaces for any site, from global and regional DEM data.
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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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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"terrainprofile": {
"command": "npx",
"args": [
"-y",
"@reneturcios/terrainprofile",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add terrainprofile -- npx -y @reneturcios/terrainprofile mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"terrainprofile": {
"command": "npx",
"args": [
"-y",
"@reneturcios/terrainprofile",
"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": {
"terrainprofile": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/terrainprofile",
"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.
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Runs on your computer; the tool list appears in your AI app after you install 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 6, 2026
The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo
We have not read this repo from GitHub yet
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This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
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 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).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 2 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
Servers in the same category from other makers, sorted by stars.
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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.
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terrainprofile is a small local bridge to the hosted Geospatial System location-profile MCP server, which reads elevation data from global and regional DEM (digital elevation model) datasets. Give it a latitude and longitude plus a dataset id, and it answers with the elevation at that point, elevation and slope statistics over small neighbourhood windows, range-box charts, a composite terrain map, or a 3-D perspective surface of the site.
The bridge keeps no terrain data of its own. It serves the upstream server's tool list locally, exactly as captured from the live endpoint, and forwards each tool call upstream, returning the result untouched. The captured surface is read-only terrain data: there is no write, purchase, or account tool in it.
list_datasets — list all available elevation datasets on the server. Takes no arguments; call it first to get a dataset_id.LP_Get_Elevation — elevation in metres at one coordinate. Required: lat, lon, dataset_id. Available on all tiers including Free.LP_Get_Elevation_Batch — elevation for up to 100 points in one call. Required: queries, a list of objects with lat, lon, and dataset_id. Available on all tiers including Free.LP_Get_Elevation_Stats — elevation statistics (min, average, max) for 3×3, 5×5 and 7×7 pixel windows centred on the coordinates. Required: lat, lon, dataset_id. Requires Pro or Enterprise key.LP_Get_Slope_Stats — terrain slope statistics (min, average, max) in degrees for the same window sizes, WGS-84 corrected. Required: lat, lon, dataset_id. Requires Pro key.LP_Get_Elevation_Chart — a range-box chart of elevation min/avg/max across the three window sizes, returned as a URL to the chart image. Required: lat, lon, dataset_id. Optional: fmt ("png" by default, also "svg" or "pdf"). Requires Pro key.LP_Get_Slope_Chart — the same range-box chart for terrain slope. Required: lat, lon, dataset_id. Optional: fmt (default "png"). Requires Pro key.LP_Get_Terrain_Map — a composite terrain map: satellite imagery plus smoothed contours with labels, flow-direction arrows, and a location pin, all in EPSG:3857. Required: lat, lon, dataset_id. Optional: offset (half-window pixels, default 20), n_arrows (flow arrow grid density, default 11), and fmt (default "png"). Requires Pro key.LP_Get_Terrain_3D — a 3-D perspective terrain surface coloured by elevation, with a red spike pin marking the query location. Required: lat, lon, dataset_id. Optional: offset (default 20), elev_angle (camera elevation, default 45), azim_angle (camera azimuth, default 135), and fmt ("png" by default, or "html"). Requires Pro key.Coordinates are decimal degrees in WGS-84.
GEOSPATIAL_MCP_URL (optional) — override the upstream endpoint. Defaults to https://api.geospatialsystem.com/mcp. (The override hook is this rebuild's own labelled reconstruction.)GEOSPATIAL_API_KEY (optional) — when set, every upstream request carries an Authorization: Bearer header, for the caller's own Geospatial System key. The registry record for the original server declares a required secret Authorization header; the Bearer scheme and the forwarding from this env var are labelled reconstructions, because the original surface was captured keyless. When it is not set, no key header is sent.On the first tool call the client opens a streamable HTTP session with the upstream: a JSON-RPC initialize request (protocolVersion 2025-03-26, clientInfo name terrainprofile), then a notifications/initialized notification, then the tools/call request carrying the caller's arguments unchanged. When the upstream answers initialize with an Mcp-Session-Id header, that value rides on every later request of the session, which is reused for the life of the process. Replies may arrive as plain JSON or as server-sent events; both are read.
Successful upstream results pass through verbatim, including any isError flag the upstream sets. Failures — a JSON-RPC error, a non-2xx status, an unreadable response, or a request that cannot be completed — come back as an isError result whose text starts with terrainprofile error: (this rendering is this rebuild's own labelled reconstruction).
Each tool is also a subcommand taking one JSON argument string:
npx @reneturcios/terrainprofile list_datasets
npx @reneturcios/terrainprofile LP_Get_Elevation '{"lat":37.7749,"lon":-122.4194,"dataset_id":" "}' npx @reneturcios/terrainprofile LP_Get_Elevation_Batch '{"queries":[{"lat":37.7749,"lon":-122.4194,"dataset_id":" "}]}' npx @reneturcios/terrainprofile LP_Get_Terrain_3D '{"lat":37.7749,"lon":-122.4194,"dataset_id":" ","fmt":"html"}' npx @reneturcios/terrainprofile --version
Exit codes: 0 on success, 1 on an isError result, 2 on a usage error.
npx -y @reneturcios/terrainprofile mcp
MCP client config:
{
"mcpServers": { "terrainprofile": { "command": "npx", "args": ["-y", "@reneturcios/terrainprofile", "mcp"] } } }
docker run -i ghcr.io/cloudcorprecords/terrainprofile
docker run --rm ghcr.io/cloudcorprecords/terrainprofile --version
The container's default command is mcp, so the first form is a stdio MCP server; any other arguments reach the CLI normally.
npm install
npm run build npm test npm run dev
The test suite runs entirely against a stubbed JSON-RPC upstream — no live network calls.
MIT — see LICENSE.