Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者による説明(英語の原文)
Local Go MCP server: DuckDuckGo/Bing web + image search, readability scraping to Markdown.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
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_PASSWORD「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
リンク先は作者自身のファイルです。私たちが置いたり再パッケージしたりしたものではありません。ファイルを開くと、Claude Desktopがインストールします。
ターミナルでこれを実行します
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:0.1.10動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"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"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"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"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
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 envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント Role1776 で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
入力が必要なもの:PROXY_LOGIN, PROXY_PASSWORD
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.1.10)がレジストリに届いたのは14 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにDocker, MCPBも必要です。
同じカテゴリには:Figma Context MCP, Claude Real Video, Figma MCP Server
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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
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