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)
Upload, download, and share files, images, and text with Pixeldrain
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.
The maker has not listed install details in the registry. See the maker’s README below.
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 8, 2026
The registry name was verified with the GitHub account jkawamoto, 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 (0.9.1) reached the registry 11 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code.
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.
pd is a command-line interface, Model Context Protocol (MCP) server, and Go SDK for Pixeldrain.
It provides an easy way to upload, download, and share files or albums directly from your terminal, shell scripts, and AI workflows without needing to open a browser.
pd mcp) that lets AI tools (such as Claude Desktop and Cursor) upload and download files on your behalf.--album.stdin or stream entire directories with tar.Upload any file to Pixeldrain and receive a download link:
pd upload artwork.png
You can optionally specify a custom display name using the path:name syntax:
pd upload output_0042.png:cyberpunk-city.png
Pass multiple files to group them into a single album. This is especially handy for collections of generated images or screenshots:
pd upload --album "Neon Dreams" concept1.png concept2.png concept3.png
Download files back to your local environment:
# Download a single file (saved to current directory by default)
pd download https://pixeldrain.com/u/xxxxxx
pd download --all https://pixeldrain.com/l/xxxxxx
pd download -o ./downloads https://pixeldrain.com/u/xxxxxx pd download --filename custom.png https://pixeldrain.com/u/xxxxxx
pd includes a built-in Model Context Protocol (MCP) server, allowing AI agents to upload text, images, and files directly to Pixeldrain.
Start the server via:
pd mcp
Add pixeldrain to your MCP configuration (e.g. claude_desktop_config.json):
{
"mcpServers": { "pixeldrain": { "command": "pd", "args": ["mcp"], "env": { "PIXELDRAIN_API_KEY": "your_api_key_here" } } } }
[!NOTE]
Setting
PIXELDRAIN_API_KEYis optional. If configured, files uploaded by the AI agent will belong to your Pixeldrain account.
upload_files: Upload one or more files (images, audio, archives) and return a file or album URL. Each file uses {name, data}, where data can be a local file path, Base64, or a Base64 data URI.upload_text: Upload plain text or markdown as a file and return a download URL.download_file: Download a file from Pixeldrain to the local machine.Pass - as the path to upload data from standard input (prepend -- to ensure - is not treated as a flag):
# Upload command output or logs
cat build.log | pd upload -- -:build.log
git diff | pd upload -- -:patch.diff
Stream and upload a directory archive directly without creating temporary files on disk:
tar zcf - ~/Projects/my-app | pd upload -- -:my-app.tar.gz
Encrypt files locally before uploading with age or SSH public keys:
# Encrypt with an age public key or SSH key
pd upload --recipient "age1..." secret.pdf pd upload --recipient "ssh-ed25519 AAAA..." secret.pdf
pd upload --recipient-file recipients.txt secret.pdf
*(Uploaded files will automatically have the `.age` extension).*
To decrypt upon download, provide your private key with --identity:
pd download --identity ~/.ssh/id_ed25519 https://pixeldrain.com/u/xxxxxx
To associate uploads with your Pixeldrain account, provide your API key via the --api-key flag or the PIXELDRAIN_API_KEY environment variable:
export PIXELDRAIN_API_KEY="your-api-key"
pd upload file.zip
pd --api-key "your-api-key" upload file.zip
API keys can be generated at [pixeldrain.com/user/api_keys](https://pixeldrain.com/user/api_keys).
brew tap jkawamoto/pixeldrain
brew install pixeldrain
go install github.com/jkawamoto/go-pixeldrain/cmd/pd@latest
Pre-compiled binaries for macOS, Linux, and Windows are available on GitHub Releases.
go-pixeldrain also provides a Go client library for the Pixeldrain REST API.
See the package documentation on pkg.go.dev for API reference and usage examples.
This software is released under the MIT License.