原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

MCP Retrieval

作者:Role1776版本 0.1.10i★ –i在你的电脑上运行
注册名称io.github.Role1776/mcp-retrieval

安装

概览

作者提供的说明(英文原文)

Local Go MCP server: DuckDuckGo/Bing web + image search, readability scraping to Markdown.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 设计、图片与音频
  • 你需要填写:PROXY_LOGIN, PROXY_PASSWORD

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: 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

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

下载作者的 .mcpb 文件

链接指向作者自己的文件;我们不托管也不重新打包它。打开文件后,Claude Desktop 会进行安装。

在终端中运行这条命令

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

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "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"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "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"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • 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 机密 env
    Outbound proxy username. Required when PROXY_HOST is set.
  • PROXY_PASSWORD 机密 env
    Outbound proxy password. Required when PROXY_HOST is set.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 Role1776 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“设计、图片与音频”中的其他服务器比较i

  • 星标数多于此分类中其他 2751 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2751 个服务器的 70% 更新
  • 基础检查结果等于或优于此分类中其他 2751 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

MCP Retrieval 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:PROXY_LOGIN, PROXY_PASSWORD

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.10)于14天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Docker, MCPB。

有什么可以替代它?

同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Figma Context MCP

作者:GLips

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

在你的电脑上运行★ 16,165MIT5个月前更新
安装

Claude Real Video

作者:HUANGCHIHHUNGLeo

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

在你的电脑上运行★ 2,284MIT2个月前更新
安装

Figma MCP Server

作者:figma

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

在云端运行★ 2,15213个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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

只显示了开头部分;其余内容请在仓库中阅读

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