プロトタイプ · プレビュー版:公式レジストリのすべてのサーバーを掲載し、30分ごとに同期しています。レビューとアカウント機能は今後のステップで始まります。
PopNx MCPAIを使う人のためのMCPサーバー · やさしい言葉で解説

MCP Retrieval

作者:Role1776バージョン 0.1.10i★ –iパソコンで動く
レジストリ名io.github.Role1776/mcp-retrieval

インストール

概要

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.

PopNx MCPの3つの柱

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。

できること

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。

  • 接続方法: パソコンで動く
  • トランスポート: stdio
  • カテゴリ: デザイン・画像・音声
  • 入力が必要なもの:PROXY_LOGIN, PROXY_PASSWORD

インストール

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。

インストールの前に

  • 基本チェック:1項目中1項目に合格
  • あなたのパソコンで、あなたのユーザーと同じ権限(ファイル、ネットワーク、アプリ)で動きます。
  • 自分で入力するもの: 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

  • DockerDockerのインストール

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。

作者の .mcpb ファイルをダウンロード

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。

Cursorで開く

または、設定を自分でコピーする

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。

VS Codeで開く

または、設定を自分でコピーする

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。

自分で入力する値

  • MCP_TRANSPORT env
    stdio (client spawns the process) or http (streamable HTTP listener).
  • MCP_NAME env
    Server name reported in the MCP initialize handshake.
  • MCP_PATH env
    HTTP path the MCP endpoint is served on. Used only when MCP_TRANSPORT=http.
  • SERVER_PORT env
    TCP port to listen on. Used only when MCP_TRANSPORT=http.
  • SERVER_READ_TIMEOUT env
    HTTP read timeout as a Go duration. Used only when MCP_TRANSPORT=http.
  • SERVER_WRITE_TIMEOUT env
    HTTP write timeout as a Go duration. Used only when MCP_TRANSPORT=http.
  • LOG_MODE env
    local (text, debug) or prod (JSON, info). Logs go to stderr.
  • MAX_IDLE_CONNS_PER_HOST env
    Idle connections the outbound HTTP client keeps per host.
  • MAX_QUERIES env
    Maximum queries or URLs accepted in one call.
  • DEFAULT_RESULTS env
    Snippets returned per query when the call does not ask for a count.
  • MAX_RESULTS env
    Upper bound for snippets per query.
  • DEFAULT_IMAGES env
    Images returned per query when the call does not ask for a count.
  • MAX_IMAGES env
    Upper bound for images per query.
  • DEFAULT_TIMEOUT_MS env
    Per-call timeout in milliseconds when the call does not request one.
  • MIN_TIMEOUT_MS env
    Lowest timeout a call may request, in milliseconds.
  • MAX_TIMEOUT_MS env
    Highest timeout a call may request, in milliseconds.
  • DEFAULT_DOCUMENT_CHARS env
    Characters kept per scraped page when the call does not ask for a limit.
  • MAX_DOCUMENT_CHARS env
    Upper bound for characters kept per scraped page.
  • PROXY_SCHEME env
    Outbound proxy scheme. Optional; set all five PROXY_* variables or none.
  • PROXY_HOST env
    Outbound proxy host. Enables per-request rotating proxy sessions.
  • PROXY_PORT env
    Outbound proxy port. Required when PROXY_HOST is set.
  • PROXY_LOGIN 秘密 env
    Outbound proxy username. Required when PROXY_HOST is set.
  • PROXY_PASSWORD 秘密 env
    Outbound proxy password. Required when PROXY_HOST is set.

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。

できること

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。

基本チェックi

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

  • ✓ 合格

    作者とリポジトリが一致

    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

  • … 未チェック

    今もメンテナンスされている

    このリポジトリはまだGitHubから読み取っていません

  • … 未チェック

    ライセンスがある

    このリポジトリはまだGitHubから読み取っていません

  • – 対象外

    エンドポイントが応答する

    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

  • – 対象外

    OAuthでサインイン

    パソコンで動き、代わりにローカルの設定を使います

  • … 未チェック

    ツールの説明に隠れた指示がない

    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

デザイン・画像・音声のほかのサーバーとの比較i

  • このカテゴリのほかの2203件のうち0%よりスターが多い
  • このカテゴリのほかの2203件のうち70%より最近レジストリに公開
  • 基本チェックの結果が、このカテゴリのほかの2203件のうち100%と同じかそれ以上

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。

よくある質問

MCP Retrievalは安全ですか?

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。

どんなキーやコードが必要ですか?

入力が必要なもの:PROXY_LOGIN, PROXY_PASSWORD

パソコンで動きますか、それともクラウドですか?

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)。

今もメンテナンスされていますか?

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。

どのアプリで使えますか?

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。

代わりに使えるものは?

同じカテゴリには:Figma Context MCP, Claude Real Video, Figma MCP Server

代わりの候補

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

Figma Context MCP

作者:GLips

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

パソコンで動く★ 16,165MIT5 か月前更新
インストール

Claude Real Video

作者:HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

パソコンで動く★ 2,284MIT2 か月前更新
インストール

Figma MCP Server

作者:figma

The Figma MCP server brings Figma design context directly into your AI workflow.

クラウドで動く★ 2,15213 か月前更新
インストール

作者のREADME

READMEを開く

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


What it is

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:

  • stdio — the client launches the binary and talks over stdin/stdout (the default, ideal for desktop clients).
  • http — a long-running streamable HTTP server (useful for remote/shared deployments).

Tools

ToolDescription
`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
ParameterTypeDefaultNotes
queries[]string—Required. Executed in parallel.
max_resultsint5Snippets per query, capped at max_results config (20).
timeout_msint645000Whole-call timeout; clamped to [min, max] from config.
datestring—Freshness filter: d (day), w (week), m (month), y (year).
web_search_images
ParameterTypeDefaultNotes
queries[]string—Required. Executed in parallel.
max_imagesint5Images per query, capped at max_images config (10).
timeout_msint645000Whole-call timeout; clamped to [min, max] from config.
datestring—Freshness filter: d / w / m / y.
web_scrape
ParameterTypeDefaultNotes
urls[]string—Required. Downloaded in parallel.
robots_txtboolfalseRespect the page's robots.txt.
timeout_msint645000Whole-call timeout; clamped to [min, max] from config.
remove_linksboolfalseStrip Markdown links from the text.
max_charsint20000Truncate page text to N characters, capped at max_document_chars config (20000).

Both queries/urls lists are capped at max_queries (10) items per call. Queries must be ≤ 512 characters; URLs ≤ 2048 characters and http/https only.

Results and counts

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.

Errors

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:

MessageMeaning
invalid requestThe arguments did not pass validation.
too many queries / too many urlsThe 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 emptyAn empty query, or an empty queries list.
query is too longA query exceeds 512 characters.
invalid urlA URL is malformed, over 2048 characters, or not http/https.
robots.txt deniedrobots_txt: true and the page disallows fetching.
every url failed to be scraped; the pages may be unreachable or hold no extractable textEvery 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 unreachableEvery 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 canceledThe client canceled the call before it finished; nothing about the upstream is implied.
internal server errorAnything 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.

Known limitations
  • `web_scrape` handles HTML only. Pages are run through a readability extractor, which needs article markup, so 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.
  • `web_search_images` relevance is not guaranteed. For some queries Bing Images serves a page that is not a result set, and it is parsed as though it were — the tool then returns unrelated images with status: "success". Treat image results as best-effort and verify them before showing them to a user.
  • No JavaScript. Pages are fetched as-is; content rendered client-side is invisible to the extractor.
  • Bursts of parallel searches can trip DuckDuckGo's bot challenge. The challenge answers with HTTP 202, which counts as a failed query, so queries keep failing until the request rate drops. A rotating proxy (see HTTP client and proxy) spreads the load across exit IPs.

Quick start

Install

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
Run
# defaults: stdio transport, no configuration needed

./bin/mcp-retrieval

with an explicit env file

./bin/mcp-retrieval -env /absolute/path/to/.env

The one flag is optional:

FlagMeaning
-envPath 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.
Connecting an MCP client (stdio)

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.

Connecting an MCP client (container)

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.

Running over HTTP

Set MCP_TRANSPORT=http and the server listens on SERVER_PORT at MCP_PATH (default http://localhost:8080/mcp).


Configuration

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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