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

Argus Retrieval

作者:Khamel83版本 1.6.5i★ –i在你的电脑上运行
注册名称io.github.Khamel83/argus

安装

概览

作者提供的说明(英文原文)

Multi-provider search broker for AI agents: 14 providers, 12-step extraction, retrieval workflows.

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: 搜索与 AI 记忆
  • 你需要填写:ARGUS_WOLFRAM_API_KEY, ARGUS_BRAVE_API_KEY, ARGUS_TAVILY_API_KEY, ARGUS_EXA_API_KEY, ARGUS_SERPER_API_KEY, ARGUS_LINKUP_API_KEY

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: ARGUS_WOLFRAM_API_KEY, ARGUS_BRAVE_API_KEY, ARGUS_TAVILY_API_KEY, ARGUS_EXA_API_KEY, ARGUS_SERPER_API_KEY, ARGUS_LINKUP_API_KEY, ARGUS_SEARXNG_BASE_URL, ARGUS_DATA_ROOT

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

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

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 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "argus": {
      "command": "uvx",
      "args": [
        "argus-search"
      ],
      "env": {
        "ARGUS_WOLFRAM_API_KEY": "your-value",
        "ARGUS_BRAVE_API_KEY": "your-value",
        "ARGUS_TAVILY_API_KEY": "your-value",
        "ARGUS_EXA_API_KEY": "your-value",
        "ARGUS_SERPER_API_KEY": "your-value",
        "ARGUS_LINKUP_API_KEY": "your-value",
        "ARGUS_SEARXNG_BASE_URL": "your-value",
        "ARGUS_DATA_ROOT": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add argus --env ARGUS_WOLFRAM_API_KEY=your-value --env ARGUS_BRAVE_API_KEY=your-value --env ARGUS_TAVILY_API_KEY=your-value --env ARGUS_EXA_API_KEY=your-value --env ARGUS_SERPER_API_KEY=your-value --env ARGUS_LINKUP_API_KEY=your-value --env ARGUS_SEARXNG_BASE_URL=your-value --env ARGUS_DATA_ROOT=your-value -- uvx argus-search

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": {
    "argus": {
      "command": "uvx",
      "args": [
        "argus-search"
      ],
      "env": {
        "ARGUS_WOLFRAM_API_KEY": "your-value",
        "ARGUS_BRAVE_API_KEY": "your-value",
        "ARGUS_TAVILY_API_KEY": "your-value",
        "ARGUS_EXA_API_KEY": "your-value",
        "ARGUS_SERPER_API_KEY": "your-value",
        "ARGUS_LINKUP_API_KEY": "your-value",
        "ARGUS_SEARXNG_BASE_URL": "your-value",
        "ARGUS_DATA_ROOT": "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": {
    "argus": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "argus-search"
      ],
      "env": {
        "ARGUS_WOLFRAM_API_KEY": "your-value",
        "ARGUS_BRAVE_API_KEY": "your-value",
        "ARGUS_TAVILY_API_KEY": "your-value",
        "ARGUS_EXA_API_KEY": "your-value",
        "ARGUS_SERPER_API_KEY": "your-value",
        "ARGUS_LINKUP_API_KEY": "your-value",
        "ARGUS_SEARXNG_BASE_URL": "your-value",
        "ARGUS_DATA_ROOT": "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

  • ARGUS_WOLFRAM_API_KEY 机密 env
    WolframAlpha App ID (2,000 free computed-answer queries/month)
  • ARGUS_BRAVE_API_KEY 机密 env
    Brave Search API key (2,000 free queries/month)
  • ARGUS_TAVILY_API_KEY 机密 env
    Tavily API key (1,000 free queries/month)
  • ARGUS_EXA_API_KEY 机密 env
    Exa API key (1,000 free queries/month)
  • ARGUS_SERPER_API_KEY 机密 env
    Serper API key (2,500 one-time free queries)
  • ARGUS_LINKUP_API_KEY 机密 env
    Linkup API key (1,000 free queries/month)
  • ARGUS_SEARXNG_BASE_URL env
    SearXNG instance URL (self-hosted, aggregates 70+ engines)
  • ARGUS_DATA_ROOT env
    Optional override for the writable Argus runtime corpus root

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 Khamel83 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“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7250 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7250 个服务器的 71% 更新
  • 基础检查结果等于或优于此分类中其他 7250 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

Argus 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:ARGUS_WOLFRAM_API_KEY, ARGUS_BRAVE_API_KEY, ARGUS_TAVILY_API_KEY, ARGUS_EXA_API_KEY, ARGUS_SERPER_API_KEY, ARGUS_LINKUP_API_KEY

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(1.6.5)于15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 Python (uv)。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

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

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT今天更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT20天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新
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。

Argus

Retrieval platform for AI agents. Argus routes search across 14 providers, recovers dead URLs, captures important site content, builds local docs-plus-research packs, and persists everything with traceable local artifacts.

Features at a glance:

  • Topology-aware acquisition — Argus knows if it's on a residential IP or datacenter, routing search and extraction automatically to avoid blocks and minimize network hops.
  • 14 providers, one API — free-first tier routing, budget-exhausted providers skipped automatically
  • Zero-key start — pip install argus-search gives you DuckDuckGo + Yahoo immediately, no accounts needed
  • SearXNG self-host = 70+ engines — Google, Bing, Yahoo, Startpage, Ecosia, Qwant and more via one Docker container
  • 12-step content extraction — returns full page text with quality gates, not just links
  • Opinionated retrieval workflows — recover dead articles, capture important pages from a site, and build local docs-plus-research packs
  • Argus-owned corpus storage — runtime data goes to a writable user data directory, not your repo checkout
  • Multi-turn sessions — pass session_id for conversational context across searches
  • Score attribution — optionally show which providers contributed to each fused RRF score
  • Usage dashboard — inspect provider budgets, recent query volume, and machine-level usage at /dashboard
  • 4 search modes — discovery, research, recovery, grounding
  • Dead URL recovery — /recover-url with Wayback Machine and archive fallbacks
  • 4 integration paths — HTTP API, CLI, MCP server, Python SDK

_Built for AI agent builders, RAG pipelines, and ops teams who need reliable search, capture, and local evidence without stitching APIs together._

Status: beta. The retrieval workflows and corpus model are production-oriented, but still maturing.

Status: see the public status page. Authorized maintainers

can use the private argus-ops README for the latest dated reports.

Current production checkpoint — September 7, 2026: The authenticated

HTTP API and MCP adapter are operational, and sampled free search works

through SearXNG, Yahoo, and GitHub. DuckDuckGo is intermittent and fails

closed after acquisition-policy blocks. Production readiness is

ready=true, degraded; paid providers are not currently admitted until

their non-secret credential-version and account-scope bindings are recorded.

Browser capability and recovery metadata evidence remain open. See the

current status matrix before relying on a provider.

Contents

  • Quickstart
  • Development
  • Where Argus Writes Data
  • Opinionated Workflows
  • Providers
  • HTTP API
  • Dashboard
  • Integration
  • CLI
  • MCP
  • Python
  • Content Extraction
  • Architecture
  • Configuration
  • When Not To Use Argus
  • FAQ

Quickstart

Mode 1: Local CLI (zero config)
pip install argus-search && argus search -q "python web frameworks"

That's it. DuckDuckGo handles the search — no accounts, no keys, no containers. You get unlimited free search from your laptop right now. Add API keys whenever you want more providers, or don't.

argus extract -u "https://example.com/article"       # extract clean text from any URL

argus recover-article -u "https://example.com/dead-post" argus capture-site -u "https://docs.example.com" argus build-research-pack -t "example sdk" --official-url "https://docs.example.com"

Works on any machine with Python 3.11+ — laptop, Mac Mini, Raspberry Pi, cloud VM. Nothing to host.

For MCP (Claude Code, Codex, OpenCode, Cursor, VS Code):

pipx install argus-search[mcp]

export ARGUS_MCP_STANDALONE=true # explicit development-only local broker argus mcp init --global --client all

That writes native config for Claude Code, Codex CLI, OpenCode, and Cursor. Restart the client after configuration. For manual stdio setup:

{"mcpServers": {"argus": {"command": "argus", "args": ["mcp", "serve"], "env": {"ARGUS_MCP_STANDALONE": "true"}}}}

Or install from the MCP Registry:

{

"mcpServers": { "argus": { "registryType": "pypi", "identifier": "argus-search", "runtimeHint": "uvx", "env": {"ARGUS_MCP_STANDALONE": "true"} } } }

Standalone development needs no server or keys, but it must be explicitly enabled. Production MCP always delegates to an authenticated HTTP authority.

See MCP Client Setup for exact config files, verification commands, remote HTTP setup, and troubleshooting.

Mode 2: Full Stack Server

Got a Raspberry Pi running Pi-hole? A Mac Mini on your desk? An old laptop? That's enough to run the full stack — SearXNG (your own private search engine, disabled by default) plus local JS-rendering content extraction.

# Optional: tell Argus it has residential egress to optimize routing

export ARGUS_EGRESS_TYPE=residential ARGUS_SEARXNG_ENABLED=true docker compose up -d # SearXNG + Argus

What you haveWhat you get
Any machine with Python 3.11+DuckDuckGo + API providers (no server)
Home server / old laptop (4GB+)Everything — SearXNG, all providers, Crawl4AI, Obscura
Mac Mini M1+ (8GB+)Full stack with headroom
Free cloud VM (1GB)SearXNG + search providers (use residential workers for extraction)

SearXNG takes 512MB of RAM and gives you a private Google-style search engine (disabled by default — set ARGUS_SEARXNG_ENABLED=true) that nobody can rate-limit, block, or charge for. It runs alongside Pi-hole on hardware millions of people already own.

Where Argus Writes Data

Argus code and Argus runtime data are different things.

  • Code lives wherever you install or clone Argus.
  • Runtime corpus data lives in a writable user data directory resolved by platformdirs, or in ARGUS_DATA_ROOT if you override it.

Inspect the exact paths on your machine:

argus paths

By default Argus writes:

  • official docs cache under the resolved docs/cache/
  • research packs under docs/research/
  • workflow run state under workflows/runs/
  • versioned workflow snapshots under snapshots/

This means Argus does not require a sibling ../docs-cache checkout. If you have an older docs-cache tree, import it once with:

argus corpus import-docs-cache -s /path/to/docs-cache

Opinionated Workflows

These workflows build local artifacts, not just transient JSON responses.

Recover A Dead Article
argus recover-article -u "https://example.com/old-post" -t "Example Post"

Argus searches for recovery candidates, extracts the best result, saves the recovered sources locally, and writes a citation-backed report plus manifest.

Capture The Important Parts Of A Site
argus capture-site -u "https://docs.example.com"

Argus stays on-domain, uses sitemap-assisted discovery plus heuristic link scoring, saves the important pages it finds, and writes a detailed summary with references.

Build A Docs + Research Pack
argus build-research-pack -t "example sdk"

argus build-research-pack -t "example sdk" --official-url "https://docs.example.com"

Argus captures official docs into its local docs cache, adds non-official supporting sources from search, and writes a combined research pack with traceable artifacts.

Development

Repo development is pinned to Python 3.12. The package runtime floor is Python 3.11, the production image runs Python 3.12.3, and Python 3.13 is the compatibility CI lane. Required CI passes all three; contributors should use the uv workflow below so local verification matches the canonical lane and does not accidentally use an older system interpreter.

uv sync --python 3.12 --extra dev --extra mcp

uv run pytest tests/ -v --tb=short

The repo includes .python-version with 3.12 so uv, pyenv, and similar tools pick the right interpreter by default. More contributor guidance lives in CONTRIBUTING.md.

Providers

ProviderCredit typeFree capacitySetup
DuckDuckGoFree (scraped)UnlimitedNone
YahooFree (scraped)UnlimitedNone — fragile, auto-skipped if broken
SearXNGFree (self-hosted, off by default)Unlimited — 70+ engines¹Docker
GitHubFree (API)UnlimitedNone (token for higher rate limit)
WolframAlphaFree (API key)2,000 queries/monthfree key
Brave SearchMonthly recurring2,000 queries/monthdashboard
TavilyMonthly recurring1,000 queries/monthsignup
ExaMonthly recurring1,000 queries/monthsignup
LinkupMonthly recurring1,000 queries/monthsignup
Parallel AIMonthly recurring$5 credit with card on file, up to 5,000 searches/monthsignup
SerperOne-time signup2,500 creditssignup
You.comOne-time signup$20 creditplatform
ValyuOne-time signup$10 creditplatform

¹ SearXNG aggregates Google, Bing, Yahoo, Startpage, Ecosia, Qwant, Wikipedia, and 60+ more — all behind a single self-hosted endpoint. Run docker compose up -d on any machine with 512MB of free RAM.

² WolframAlpha returns computed answers (math, unit conversions, factual lookups), not web search results. It only activates in grounding and research modes. Queries it can't compute (general web searches) return empty — no error, no health penalty.

7,000+ free queries/month from recurring free-tier providers with API keys (WolframAlpha 2k + Brave 2k + Tavily 1k + Exa 1k + Linkup 1k), or up to 12,000+ when Parallel's monthly credit is available to an eligible account with a card on file. DuckDuckGo, Yahoo, and GitHub have no monthly cap. SearXNG is disabled by default (enable in .env). Routing priority: Tier 0 (free: SearXNG*, DuckDuckGo, Yahoo, GitHub, WolframAlpha) → Tier 1 (monthly recurring: Brave, Tavily, Exa, Linkup, Parallel) → Tier 3 (one-time: Serper, You.com, Valyu, SearchAPI). Budget-exhausted providers are skipped automatically.

These are package-level provider tiers and advertised quotas, not proof of current production availability. The production authority fails closed for a credentialed provider until its registration fingerprint, account scope, budget, and approved test evidence are present. A protected key value alone does not prove th

只显示了开头部分;其余内容请在仓库中阅读

问 PopNx