Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
제작자가 쓴 설명(영어 원문)
Local Go MCP server: DuckDuckGo/Bing web + image search, readability scraping to Markdown.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
MCP_TRANSPORT, MCP_NAME, MCP_PATH, SERVER_PORT, SERVER_READ_TIMEOUT, SERVER_WRITE_TIMEOUT, LOG_MODE, MAX_IDLE_CONNS_PER_HOST, MAX_QUERIES, DEFAULT_RESULTS, MAX_RESULTS, DEFAULT_IMAGES, MAX_IMAGES, DEFAULT_TIMEOUT_MS, MIN_TIMEOUT_MS, MAX_TIMEOUT_MS, DEFAULT_DOCUMENT_CHARS, MAX_DOCUMENT_CHARS, PROXY_SCHEME, PROXY_HOST, PROXY_PORT, PROXY_LOGIN, PROXY_PASSWORD비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
링크는 제작자의 파일로 바로 연결돼요. 우리가 보관하거나 다시 패키징하지 않아요. 파일을 열면 Claude Desktop이 설치해요.
터미널에서 이 명령어를 실행하세요
claude mcp add retrieval --env MCP_TRANSPORT=your-value --env MCP_NAME=your-value --env MCP_PATH=your-value --env SERVER_PORT=your-value --env SERVER_READ_TIMEOUT=your-value --env SERVER_WRITE_TIMEOUT=your-value --env LOG_MODE=your-value --env MAX_IDLE_CONNS_PER_HOST=your-value --env MAX_QUERIES=your-value --env DEFAULT_RESULTS=your-value --env MAX_RESULTS=your-value --env DEFAULT_IMAGES=your-value --env MAX_IMAGES=your-value --env DEFAULT_TIMEOUT_MS=your-value --env MIN_TIMEOUT_MS=your-value --env MAX_TIMEOUT_MS=your-value --env DEFAULT_DOCUMENT_CHARS=your-value --env MAX_DOCUMENT_CHARS=your-value --env PROXY_SCHEME=your-value --env PROXY_HOST=your-value --env PROXY_PORT=your-value --env PROXY_LOGIN=your-value --env PROXY_PASSWORD=your-value -- docker run -i --rm -e MCP_TRANSPORT -e MCP_NAME -e MCP_PATH -e SERVER_PORT -e SERVER_READ_TIMEOUT -e SERVER_WRITE_TIMEOUT -e LOG_MODE -e MAX_IDLE_CONNS_PER_HOST -e MAX_QUERIES -e DEFAULT_RESULTS -e MAX_RESULTS -e DEFAULT_IMAGES -e MAX_IMAGES -e DEFAULT_TIMEOUT_MS -e MIN_TIMEOUT_MS -e MAX_TIMEOUT_MS -e DEFAULT_DOCUMENT_CHARS -e MAX_DOCUMENT_CHARS -e PROXY_SCHEME -e PROXY_HOST -e PROXY_PORT -e PROXY_LOGIN -e PROXY_PASSWORD ghcr.io/role1776/mcp-retrieval:0.1.10실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"retrieval": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"MCP_TRANSPORT",
"-e",
"MCP_NAME",
"-e",
"MCP_PATH",
"-e",
"SERVER_PORT",
"-e",
"SERVER_READ_TIMEOUT",
"-e",
"SERVER_WRITE_TIMEOUT",
"-e",
"LOG_MODE",
"-e",
"MAX_IDLE_CONNS_PER_HOST",
"-e",
"MAX_QUERIES",
"-e",
"DEFAULT_RESULTS",
"-e",
"MAX_RESULTS",
"-e",
"DEFAULT_IMAGES",
"-e",
"MAX_IMAGES",
"-e",
"DEFAULT_TIMEOUT_MS",
"-e",
"MIN_TIMEOUT_MS",
"-e",
"MAX_TIMEOUT_MS",
"-e",
"DEFAULT_DOCUMENT_CHARS",
"-e",
"MAX_DOCUMENT_CHARS",
"-e",
"PROXY_SCHEME",
"-e",
"PROXY_HOST",
"-e",
"PROXY_PORT",
"-e",
"PROXY_LOGIN",
"-e",
"PROXY_PASSWORD",
"ghcr.io/role1776/mcp-retrieval:0.1.10"
],
"env": {
"MCP_TRANSPORT": "your-value",
"MCP_NAME": "your-value",
"MCP_PATH": "your-value",
"SERVER_PORT": "your-value",
"SERVER_READ_TIMEOUT": "your-value",
"SERVER_WRITE_TIMEOUT": "your-value",
"LOG_MODE": "your-value",
"MAX_IDLE_CONNS_PER_HOST": "your-value",
"MAX_QUERIES": "your-value",
"DEFAULT_RESULTS": "your-value",
"MAX_RESULTS": "your-value",
"DEFAULT_IMAGES": "your-value",
"MAX_IMAGES": "your-value",
"DEFAULT_TIMEOUT_MS": "your-value",
"MIN_TIMEOUT_MS": "your-value",
"MAX_TIMEOUT_MS": "your-value",
"DEFAULT_DOCUMENT_CHARS": "your-value",
"MAX_DOCUMENT_CHARS": "your-value",
"PROXY_SCHEME": "your-value",
"PROXY_HOST": "your-value",
"PROXY_PORT": "your-value",
"PROXY_LOGIN": "your-value",
"PROXY_PASSWORD": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"retrieval": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"MCP_TRANSPORT",
"-e",
"MCP_NAME",
"-e",
"MCP_PATH",
"-e",
"SERVER_PORT",
"-e",
"SERVER_READ_TIMEOUT",
"-e",
"SERVER_WRITE_TIMEOUT",
"-e",
"LOG_MODE",
"-e",
"MAX_IDLE_CONNS_PER_HOST",
"-e",
"MAX_QUERIES",
"-e",
"DEFAULT_RESULTS",
"-e",
"MAX_RESULTS",
"-e",
"DEFAULT_IMAGES",
"-e",
"MAX_IMAGES",
"-e",
"DEFAULT_TIMEOUT_MS",
"-e",
"MIN_TIMEOUT_MS",
"-e",
"MAX_TIMEOUT_MS",
"-e",
"DEFAULT_DOCUMENT_CHARS",
"-e",
"MAX_DOCUMENT_CHARS",
"-e",
"PROXY_SCHEME",
"-e",
"PROXY_HOST",
"-e",
"PROXY_PORT",
"-e",
"PROXY_LOGIN",
"-e",
"PROXY_PASSWORD",
"ghcr.io/role1776/mcp-retrieval:0.1.10"
],
"env": {
"MCP_TRANSPORT": "your-value",
"MCP_NAME": "your-value",
"MCP_PATH": "your-value",
"SERVER_PORT": "your-value",
"SERVER_READ_TIMEOUT": "your-value",
"SERVER_WRITE_TIMEOUT": "your-value",
"LOG_MODE": "your-value",
"MAX_IDLE_CONNS_PER_HOST": "your-value",
"MAX_QUERIES": "your-value",
"DEFAULT_RESULTS": "your-value",
"MAX_RESULTS": "your-value",
"DEFAULT_IMAGES": "your-value",
"MAX_IMAGES": "your-value",
"DEFAULT_TIMEOUT_MS": "your-value",
"MIN_TIMEOUT_MS": "your-value",
"MAX_TIMEOUT_MS": "your-value",
"DEFAULT_DOCUMENT_CHARS": "your-value",
"MAX_DOCUMENT_CHARS": "your-value",
"PROXY_SCHEME": "your-value",
"PROXY_HOST": "your-value",
"PROXY_PORT": "your-value",
"PROXY_LOGIN": "your-value",
"PROXY_PASSWORD": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
MCP_TRANSPORT envMCP_NAME envMCP_PATH envSERVER_PORT envSERVER_READ_TIMEOUT envSERVER_WRITE_TIMEOUT envLOG_MODE envMAX_IDLE_CONNS_PER_HOST envMAX_QUERIES envDEFAULT_RESULTS envMAX_RESULTS envDEFAULT_IMAGES envMAX_IMAGES envDEFAULT_TIMEOUT_MS envMIN_TIMEOUT_MS envMAX_TIMEOUT_MS envDEFAULT_DOCUMENT_CHARS envMAX_DOCUMENT_CHARS envPROXY_SCHEME envPROXY_HOST envPROXY_PORT env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 Role1776 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: PROXY_LOGIN, PROXY_PASSWORD
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.10)은 14일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Docker, MCPB도 있어야 해요.
같은 카테고리에는: Figma Context MCP, Claude Real Video, Figma MCP Server
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
The Figma MCP server brings Figma design context directly into your AI workflow.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
mcp-retrieval
An MCP server that gives an LLM three web tools: search, image search, and page scraping — no API keys required.
Tools · Quick start · Configuration · Retrieval engine · Architecture · Contributing
mcp-retrieval is a Model Context Protocol server written in Go. It exposes web retrieval capabilities to any MCP-compatible client (Claude Desktop, IDE agents, custom LLM apps) as three read-only tools. Under the hood it uses the retrieval-go library to search the web and fetch pages, returning results as clean Markdown ready to hand to a model.
The library needs no API keys: web search goes through DuckDuckGo Lite, image search through Bing Images, and page fetching runs the HTML through a readability extractor before converting it to Markdown. To stay reliable against bot protection it impersonates real browsers at the TLS level and can rotate both browser fingerprints and proxies — see Retrieval engine.
Both transports the MCP SDK supports are available and expose the identical tool set:
| Tool | Description |
|---|---|
| `web_search` | Runs one or more queries in parallel and returns per-query deduplicated, reranked snippets with links. |
| `web_search_images` | Runs one or more image queries in parallel and returns per-query deduplicated image results. |
| `web_scrape` | Downloads one or more pages in parallel and returns the main article text as Markdown. |
All three are annotated as read-only. Each tool returns a structured JSON payload that matches its output schema; the SDK mirrors the same JSON into the text content block for clients that do not read structuredContent.
web_search| Parameter | Type | Default | Notes |
|---|---|---|---|
queries | []string | — | Required. Executed in parallel. |
max_results | int | 5 | Snippets per query, capped at max_results config (20). |
timeout_ms | int64 | 5000 | Whole-call timeout; clamped to [min, max] from config. |
date | string | — | Freshness filter: d (day), w (week), m (month), y (year). |
web_search_images| Parameter | Type | Default | Notes |
|---|---|---|---|
queries | []string | — | Required. Executed in parallel. |
max_images | int | 5 | Images per query, capped at max_images config (10). |
timeout_ms | int64 | 5000 | Whole-call timeout; clamped to [min, max] from config. |
date | string | — | Freshness filter: d / w / m / y. |
web_scrape| Parameter | Type | Default | Notes |
|---|---|---|---|
urls | []string | — | Required. Downloaded in parallel. |
robots_txt | bool | false | Respect the page's robots.txt. |
timeout_ms | int64 | 5000 | Whole-call timeout; clamped to [min, max] from config. |
remove_links | bool | false | Strip Markdown links from the text. |
max_chars | int | 20000 | Truncate page text to N characters, capped at max_document_chars config (20000). |
Both
queries/urlslists are capped atmax_queries(10) items per call. Queries must be ≤ 512 characters; URLs ≤ 2048 characters andhttp/httpsonly.
Every call fans out across the input list and returns one entry per query/URL, each with its own status — success, failed, or timeout — so a partial failure still returns the items that did work.
count is the number of items actually returned, and it can be lower than the requested `max_results` / `max_images`: duplicates within a single query's results are removed before the limit is applied, and the upstream may simply have fewer items to give. A smaller count is a normal outcome, not an error.
Deduplication is per query, not across queries. Each entry is deduplicated on its own, so a link found by two of the queries in the same call appears in both entries — dedupe the union yourself if you need it.
Request-level failures are returned as a tool result with isError: true and a plain-text message, not as a JSON-RPC error — the model reads the message and can correct the call itself. Per-item failures never do this; they stay inside the payload as status: "failed" / "timeout".
A call fails outright only when the input is rejected before any work starts, or when every item in it fails:
| Message | Meaning |
|---|---|
invalid request | The arguments did not pass validation. |
too many queries / too many urls | The list exceeds MAX_QUERIES. Lists this long are normally rejected earlier by input-schema validation (the schema carries maxItems), so the client sees validating "arguments": maxItems: ... instead; this message is a fallback. |
query must not be empty | An empty query, or an empty queries list. |
query is too long | A query exceeds 512 characters. |
invalid url | A URL is malformed, over 2048 characters, or not http/https. |
robots.txt denied | robots_txt: true and the page disallows fetching. |
every url failed to be scraped; the pages may be unreachable or hold no extractable text | Every URL failed with an error other than a timeout. Individual causes are logged to stderr, not returned. |
every query failed; the search upstream may be unreachable | Every query failed with an error other than a timeout, including the upstream rejecting the requests (any non-200 answer, such as DuckDuckGo's HTTP 202 bot challenge under a burst of requests). The per-query cause is logged to stderr. |
request canceled | The client canceled the call before it finished; nothing about the upstream is implied. |
internal server error | Anything unclassified. |
A timeout is never a call-level error: an item that runs out of time gets status: "timeout", and a call where every item timed out still returns all of them with that status. The all-failed messages only fire when no item succeeded or timed out.
text/plain responses yield nothing and come back as status: "failed". Raw-file hosts are the common case: raw.githubusercontent.com, github.com/.../raw/..., cdn.jsdelivr.net. Scrape the rendered page instead of the raw file.status: "success". Treat image results as best-effort and verify them before showing them to a user.Pick whichever fits — all of them give the identical server.
Container (no Go toolchain needed):
docker pull ghcr.io/role1776/mcp-retrieval:latest
Prebuilt binary — grab the archive for your platform from the latest release, unpack it, and put mcp-retrieval on your PATH.
MCP Bundle — for clients that install .mcpb files, download mcp-retrieval_ _ _ .mcpb from the latest release and open it with your client. The bundle carries the compiled binary, so it needs neither Docker nor Go. Pick the file matching your OS *and* CPU architecture: a bundle holds one native binary.
From source:
go install github.com/Role1776/mcp-retrieval/app/cmd/mcp-retrieval@latest # needs Go 1.25.5+
Or build the binary in place (the Go module lives in app/):
make build # -> bin/mcp-retrieval
# defaults: stdio transport, no configuration needed
./bin/mcp-retrieval
./bin/mcp-retrieval -env /absolute/path/to/.env
The one flag is optional:
| Flag | Meaning |
|---|---|
-env | Path to a .env file. If omitted — or if the file does not exist — the server starts on defaults and whatever is already in the environment. There is no implicit lookup: under stdio the working directory is chosen by the MCP client, so a relative default would be unpredictable. |
Point your client at the built binary. Example Claude Desktop config:
{
"mcpServers": { "retrieval": { "command": "/absolute/path/to/mcp-retrieval", "env": { "MAX_RESULTS": "20" } } } }
The env block is optional — "command" alone is enough.
Run the image on stdio. Configuration still travels through the env block, but Docker needs each variable named on the command line with -e for it to reach the process:
{
"mcpServers": { "retrieval": { "command": "docker", "args": [ "run", "-i", "--rm", "-e", "MAX_RESULTS", "-e", "DEFAULT_TIMEOUT_MS", "ghcr.io/role1776/mcp-retrieval:latest" ], "env": { "MAX_RESULTS": "20", "DEFAULT_TIMEOUT_MS": "5000" } } } }
-i is required — without it the container gets no stdin and the client sees the server die immediately. Clients that install from the MCP Registry build this invocation themselves and prompt for the variables declared in server.json.
Set MCP_TRANSPORT=http and the server listens on SERVER_PORT at MCP_PATH (default http://localhost:8080/mcp).
Everything is configured through environment variables, and each value is validated before startup: a non-numeric or non-positive value is a startup error (the *_IN_FLIGHT caps also accept 0). Relationships *between* limits are not checked at startup — see Limits. Variables already present in the environment win over a .env file, so
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요