Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Multi-provider search broker for AI agents: 14 providers, 12-step extraction, retrieval workflows.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
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_ROOT비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"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"
}
}
}
}터미널에서 이 명령어를 실행하세요
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-search실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"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"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"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"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
ARGUS_SEARXNG_BASE_URL envARGUS_DATA_ROOT env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 Khamel83 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: ARGUS_WOLFRAM_API_KEY, ARGUS_BRAVE_API_KEY, ARGUS_TAVILY_API_KEY, ARGUS_EXA_API_KEY, ARGUS_SERPER_API_KEY, ARGUS_LINKUP_API_KEY
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.6.5)은 15일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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
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