Context7
Up-to-date docs for AI agents
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.
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。
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。
选择你使用的 AI 应用,然后复制设置。
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
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。
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。
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。
ARGUS_SEARXNG_BASE_URL envARGUS_DATA_ROOT env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。
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
注册名称已通过 GitHub 账户 Khamel83 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
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)。
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。
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)。
同一分类中有:Context7, Codebase Memory, Exa
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
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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。
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:
pip install argus-search gives you DuckDuckGo + Yahoo immediately, no accounts neededsession_id for conversational context across searches/dashboard/recover-url with Wayback Machine and archive fallbacks_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.
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.
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 have | What 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.
Argus code and Argus runtime data are different things.
platformdirs, or in ARGUS_DATA_ROOT if you override it.Inspect the exact paths on your machine:
argus paths
By default Argus writes:
docs/cache/docs/research/workflows/runs/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
These workflows build local artifacts, not just transient JSON responses.
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.
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.
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.
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.
| Provider | Credit type | Free capacity | Setup |
|---|---|---|---|
| DuckDuckGo | Free (scraped) | Unlimited | None |
| Yahoo | Free (scraped) | Unlimited | None — fragile, auto-skipped if broken |
| SearXNG | Free (self-hosted, off by default) | Unlimited — 70+ engines¹ | Docker |
| GitHub | Free (API) | Unlimited | None (token for higher rate limit) |
| WolframAlpha | Free (API key) | 2,000 queries/month | free key |
| Brave Search | Monthly recurring | 2,000 queries/month | dashboard |
| Tavily | Monthly recurring | 1,000 queries/month | signup |
| Exa | Monthly recurring | 1,000 queries/month | signup |
| Linkup | Monthly recurring | 1,000 queries/month | signup |
| Parallel AI | Monthly recurring | $5 credit with card on file, up to 5,000 searches/month | signup |
| Serper | One-time signup | 2,500 credits | signup |
| You.com | One-time signup | $20 credit | platform |
| Valyu | One-time signup | $10 credit | platform |
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