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)
Web, local, news, image, and video search through the Brave Search API.
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
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"searchport": {
"command": "npx",
"args": [
"-y",
"@reneturcios/searchport",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add searchport -- npx -y @reneturcios/searchport mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"searchport": {
"command": "npx",
"args": [
"-y",
"@reneturcios/searchport",
"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": {
"searchport": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/searchport",
"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 7, 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 7 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.
searchport is one doorway to five kinds of Brave search. A single question can be asked against the general web index, local business listings, current news, images, or videos, and every answer comes back in the same shape: a title, the address it lives at, a short excerpt, and one extra line of detail that fits the kind — how long ago a story ran, how long a video plays, where a shop is and how it is rated. It runs from the command line or as an MCP server for agents.
A Brave Search API subscription key is required. Put it in the BRAVE_API_KEY environment variable; the key is sent to the API as the X-Subscription-Token header and never appears in output. When the variable is missing, every search fails with an error that names it.
npx @reneturcios/searchport web "trail running shoes"
Or run the container image:
docker run -i -e BRAVE_API_KEY ghcr.io/cloudcorprecords/searchport
The container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead.
export BRAVE_API_KEY="your subscription key"
searchport web "composting basics" searchport web "composting basics" --count 5 --offset 1
searchport local "bakery near the mission" --count 5 searchport news "trail network vote" searchport images "ridge sunrise" searchport videos "trail running form"
searchport web "composting basics" --json
searchport --version
Exit codes: 0 on success, 1 when a search fails (including a missing BRAVE_API_KEY or an API error), 2 for usage errors.
One bin serves both faces. The mcp subcommand starts a stdio MCP server:
npx -y @reneturcios/searchport mcp
MCP client configuration:
{
"mcpServers": { "searchport": { "command": "npx", "args": ["-y", "@reneturcios/searchport", "mcp"], "env": { "BRAVE_API_KEY": "your subscription key" } } } }
| Tool | Input | What it returns |
|---|---|---|
brave_web_search | query (string, required), count (number, optional), offset (number, optional) | Web results as a numbered text block: title, URL, and excerpt per result. |
brave_local_search | query (string, required), count (number, optional) | Local listings: name, URL, and a detail line with address, phone, and rating when the API provides them. |
brave_news_search | query (string, required), count (number, optional) | News stories: headline, URL, summary, and the story's age. |
brave_image_search | query (string, required), count (number, optional) | Image results: title, source page URL, and the direct image URL. |
brave_video_search | query (string, required), count (number, optional) | Video results: title, URL, description, and duration. |
Counts are clamped to the API's per-page limit of 20 and offsets to its maximum of 9. An empty result set is reported as such, not as an error; a missing key or a failed API call is reported as a tool error.
npm install
npm run build # tsc -> dist/ npm test # node test runner over test/*.test.ts, no network (fake fetch fixtures) npm run dev # run the CLI from source via tsx
MIT — see LICENSE.