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)
Audit image tags and OCI labels: pinning, lowercase repos, and the MCP server-name label.
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.
You 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": {
"dockertag": {
"command": "npx",
"args": [
"-y",
"@reneturcios/dockertag",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add dockertag -- npx -y @reneturcios/dockertag mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"dockertag": {
"command": "npx",
"args": [
"-y",
"@reneturcios/dockertag",
"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": {
"dockertag": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/dockertag",
"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.
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.
These 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 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
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 (0.1.0) reached the registry 4 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.
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 image reference looks pinned until you read it closely. repo with no tag at all silently means repo:latest; latest itself moves; a capital letter in the repository breaks pushes to registries that require lowercase; and a published image can be missing the labels that say where its source lives, what license it carries, and — for MCP servers — the server-name label the MCP Registry checks before it will list the image. dockertag takes the middle road: you hand it the references and the labels you found, and it hands back an audit.
Every reference is parsed the same careful way. The digest is everything after the last @. A tag exists only when the final path segment contains a : — so the colon in localhost:5000 is a port, never a tag — and the tag is the text after the last : in that segment. The registry is the first segment when it contains a . or a : or is exactly localhost; otherwise the registry is docker.io and the whole path is the repository.
Against the parsed reference and the supplied labels, nine checks run in a fixed order:
sha256: followed by 64 lowercase hex characters.latest tag.latest and no digest pins it.org.opencontainers.image.source label.org.opencontainers.image.licenses label.expected_server_name: the io.modelcontextprotocol.server.name label is absent.The result carries each image's parsed registry, repository, tag, and digest with its finding codes, the flat list of findings (by image input order, then check order) with exact messages, and counts of images, errors, warnings, and clean images.
dockertag never contacts a registry and never pulls an image: the labels are the ones you supply, which makes the audit usable in CI before anything is pushed. Malformed input — a missing or empty image list, a missing, empty, or duplicated reference, labels that are not a string-to-string map, a bad expected_server_name — is a validation error naming the offending path (for example images[1].labels.custom must be a string), and no partial audit is produced.
npx @reneturcios/dockertag audit --input args.json
npx @reneturcios/dockertag --version
args.json contains the full arguments object:
{
"expected_server_name": "io.github.CloudCorpRecords/dockertag", "images": [ { "reference": "ghcr.io/cloudcorprecords/dockertag:0.1.0", "labels": { "org.opencontainers.image.source": "https://github.com/CloudCorpRecords/dockertag", "org.opencontainers.image.licenses": "MIT", "io.modelcontextprotocol.server.name": "io.github.CloudCorpRecords/dockertag" } }, { "reference": "myteam/worker" } ] }
The audit is printed as JSON:
{
"images": [ { "reference": "ghcr.io/cloudcorprecords/dockertag:0.1.0", "registry": "ghcr.io", "repository": "cloudcorprecords/dockertag", "tag": "0.1.0", "digest": null, "findings": [] }, { "reference": "myteam/worker", "registry": "docker.io", "repository": "myteam/worker", "tag": null, "digest": null, "findings": ["UNPINNED", "MISSING_SOURCE_LABEL", "MISSING_LICENSE_LABEL", "MISSING_SERVER_NAME_LABEL"] } ], "findings": [ { "reference": "myteam/worker", "code": "UNPINNED", "severity": "error", "message": "no tag or digest: the reference resolves to the mutable latest tag" } ], "counts": { "images": 2, "errors": 2, "warnings": 2, "clean": 1 } }
(The flat findings list above is abbreviated; it holds one entry per finding.) Exit codes: 0 on success, 1 on a runtime error (including an unreadable or invalid input file, or invalid input), 2 on a usage error.
npx -y @reneturcios/dockertag mcp
MCP client config:
{
"mcpServers": { "dockertag": { "command": "npx", "args": ["-y", "@reneturcios/dockertag", "mcp"] } } }
audit_image_tags — Audit container image references and OCI labels: tag pinning, lowercase repositories, source and license labels, and the MCP Registry server-name label.images (array, required, at least one) — images as {reference, labels?} objects; reference is the full image reference as written and is unique across the set, and labels is the image's OCI labels as a string-to-string mapexpected_server_name (string, optional, non-empty) — the expected value of the io.modelcontextprotocol.server.name label; the two server-name checks run only when this is suppliedReturns {images, findings, counts}.
docker run -i ghcr.io/cloudcorprecords/dockertag
docker run --rm -v "$PWD:/w" ghcr.io/cloudcorprecords/dockertag audit --input /w/args.json
npm install
npm run build # tsc -> dist/ npm test # tsx --test test/*.test.ts (pure local, no network) npm run dev # run the CLI from source
MIT — Copyright (c) 2026 Rene Turcios