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)
Local PDF, Office, image, archive and video tools for AI agents. Files never leave your computer.
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.
ROUNDERTOOLS_ALLOW, ROUNDERTOOLS_FFMPEGYou need
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": {
"roundertools": {
"command": "npx",
"args": [
"-y",
"@roundertools/mcp"
],
"env": {
"ROUNDERTOOLS_ALLOW": "your-value",
"ROUNDERTOOLS_FFMPEG": "your-value"
}
}
}
}Run this in your terminal
claude mcp add roundertools --env ROUNDERTOOLS_ALLOW=your-value --env ROUNDERTOOLS_FFMPEG=your-value -- npx -y @roundertools/mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"roundertools": {
"command": "npx",
"args": [
"-y",
"@roundertools/mcp"
],
"env": {
"ROUNDERTOOLS_ALLOW": "your-value",
"ROUNDERTOOLS_FFMPEG": "your-value"
}
}
}
}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": {
"roundertools": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@roundertools/mcp"
],
"env": {
"ROUNDERTOOLS_ALLOW": "your-value",
"ROUNDERTOOLS_FFMPEG": "your-value"
}
}
}
}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.
ROUNDERTOOLS_ALLOW envROUNDERTOOLS_FFMPEG envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
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 7, 2026
The registry name was verified with the GitHub account adam-sari, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
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 (0.3.0) reached the registry 3 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js 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.
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.
An MCP server that gives AI assistants the file tools from roundertools.com: compress, merge, split and protect PDFs, convert and resize images, zip files, and (with ffmpeg) shrink, convert and trim video. It runs on your computer over stdio. Files stay where they are, and it makes no network requests.
Claude Code:
claude mcp add roundertools -- npx -y @roundertools/mcp
claude mcp add roundertools --scope user -- npx -y @roundertools/mcp --allow ~/Documents --allow ~/Downloads
In Claude Code you may not need a server at all. The roundertools plugin (/plugin marketplace add adam-sari/rounder, then /plugin install roundertools@roundertools) is a skill that teaches Claude to run the CLI, about 100 tokens until it's used.
Claude Desktop (claude_desktop_config.json, under Settings → Developer → Edit config):
{ "mcpServers": { "roundertools": { "command": "npx", "args": ["-y", "@roundertools/mcp", "--allow", "/Users/you/Documents"] } } }
On Windows, if npx isn't found, use "command": "cmd", "args": ["/c", "npx", "-y", "@roundertools/mcp", …].
Cursor (~/.cursor/mcp.json or .cursor/mcp.json):
{ "mcpServers": { "roundertools": { "command": "npx", "args": ["-y", "@roundertools/mcp"] } } }
VS Code (.vscode/mcp.json):
{ "servers": { "roundertools": { "type": "stdio", "command": "npx", "args": ["-y", "@roundertools/mcp"] } } }
Needs Node 22.13 or newer; video and audio tools appear when ffmpeg is on the PATH (or at ROUNDERTOOLS_FFMPEG).
--allow DIR (repeatable) or ROUNDERTOOLS_ALLOW (a path list). Without either: your home folder and the folder it starts in (when that's a project, not a system folder). A client's roots can narrow this, never widen it..ssh, .aws, .config, .env…), key and password files, or app data such as browser profiles, even inside an allowed folder. Paths must be absolute; symlinks are resolved before checking. The one exception is the server's own settings folder, which it reads at startup; no tool call can.--out DIR. It never replaces an existing file and never writes over an input. The one other place it writes is its own settings folder.-protocol_whitelist file,pipe).\\server\share.Text and details read out of files (document-to-markdown, pdf-to-text, form fields, a PDF's title, EXIF fields) come back framed as the file's content, not instructions, between tags with a random name the file can't guess.
A client sends every tool a server lists to the model at the start of every conversation, used or not. Listing every tool up front (38 with ffmpeg) costs about 18,000 tokens. So by default the server lists three helpers, about 700 tokens, plus a short paragraph of instructions (about 150):
find-tool: searches every tool on the site by what you want donedescribe-tool: any tool's options as JSON Schemarun-tool: runs any tool that works outside a browser, with the same checksBehind them are merge-pdf, split-pdf, compress-pdf, protect-pdf, unlock-pdf, organize-pdf, add-page-numbers-to-pdf, watermark-pdf, jpg-to-pdf, pdf-to-text, extract-images-from-pdf, pdf-form-fields, fill-pdf-form, with @napi-rs/canvas pdf-to-jpg and redact-pdf, then image-converter, image-compressor, image-resizer, crop-image, rotate-image, exif-remover, image-prep, image-diff, zip-files, unzip-files, checksum-calculator, file-info, document-to-markdown, spreadsheet-inspector, and with ffmpeg video-compressor, video-converter, trim-video, mute-video, video-to-gif, video-to-mp3, audio-converter, video-contact-sheet, plus the site's other tools that run outside a browser.
The list grows with use:
describe-tool, or runs one successfully with run-tool, the server lists that tool directly and tells the client (notifications/tools/list_changed), so next time it can call it by name. find-tool only searches, and a failed run adds nothing. A client that ignores list changes still reaches every tool through run-tool, which is what find-tool and the prompts name for any tool not listed from the start. Each change to the list can make a client re-read it (and lose a cached prompt), so it happens once per tool.--tools all lists every tool up front, if you'd rather pay the tokens once than have the assistant search. --tools default lists the set 0.1 listed by default (everything but checksum-calculator). Families (--tools pdf,image) and tool names (--tools compress-pdf,merge-pdf) list just those. They all combine: --tools lean,pdf or --tools default,checksum-calculator. The helpers are always there. The flag wins over the settings file, and the settings file wins over the lean default.
Each tool takes inputs (absolute paths), an optional output (a folder, or a new file for a single result) and its own options. Results come back as a summary, resource_links to the files, and structuredContent with each output's path, size and type. Image tools take preview: true for a small PNG of the result.
In a terminal coding agent (Claude Code, Codex, Gemini CLI, opencode), the first find-tool result says once that npx -y roundertools … does the same without MCP. Nothing else depends on which client is connected.
Prompts cost nothing until you pick one. Each tells the assistant which tool to call, with which arguments.
| Prompt | Arguments |
|---|---|
compress-pdf | file, optional size (like 1mb) |
merge-pdfs | files |
convert-images | files, format |
pdf-to-text | file |
read-document | file (PDF, Word, PowerPoint, Excel or CSV) |
fill-pdf-form | file (lists the fields, asks you, then fills) |
redact-pdf | file, what (only with @napi-rs/canvas) |
shrink-video | file, optional size (only with ffmpeg) |
Favourites come from a count of the tools you use. After a tool runs successfully, the server adds one to its count and notes the date in usage.json:
{ "version": 1, "tools": { "compress-pdf": { "count": 4, "last": "2026-11-02" } } }
That's all it stores: tool names, counts and dates. Never paths, file names, options or anything read from a file. It stays on your computer like everything else.
Turn it off with --no-memory, ROUNDERTOOLS_MEMORY=off, or npx roundertools config set memory off. Forget it all with npx roundertools config reset.
settings.json and usage.json live in one folder:
| System | Folder |
|---|---|
| Windows | %APPDATA%\roundertools |
| macOS | ~/Library/Application Support/roundertools |
| Linux and others | $XDG_CONFIG_HOME/roundertools, or ~/.config/roundertools |
ROUNDERTOOLS_CONFIG_DIR picks another folder. The CLI shows and changes them:
npx roundertools config # the folder, the settings and your favourites
npx roundertools config set tools all # lean, all, default, families or tool names npx roundertools config set memory off # on or off npx roundertools config reset # remove both files
A change applies the next time the server starts, and flags on its command line win. On Node 26 and newer the permission model gives the server read and write access to this folder, so memory keeps working there too. With memory off it may only read it.
| Option | |
|---|---|
--allow DIR | a folder it may read (repeatable) |
--out DIR | a folder it may write to, besides next to the inputs |
--tools LIST | lean (the default), all, default, families (pdf,image,files,media) or tool names |
--no-memory | don't count which tools you use |
--experimental | turn on features that aren't finished (there are none yet) |
--max-input SIZE | per-file limit (default 1gb, media 2gb) |
--timeout MIN | minutes per call (default 5, media 30) |
--max-outputs N | files one call may write (default 500) |
Built on the official MCP TypeScript SDK (@modelcontextprotocol/server), stdio only; it logs to stderr, runs one heavy job at a time, sends progress notifications and stops when a call is cancelled.
MIT. Docs: roundertools.com/developers/mcp. Source: github.com/adam-sari/rounder in packages/mcp.