Context7
Up-to-date docs for AI agents
作者による説明(英語の原文)
Multi-provider search broker for AI agents: 14 providers, 12-step extraction, retrieval workflows.
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。
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。
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。
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「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
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。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"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"
}
}
}
}ターミナルでこれを実行します
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動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"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"
}
}
}
}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。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"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"
}
}
}
}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。
ARGUS_SEARXNG_BASE_URL envARGUS_DATA_ROOT env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。
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。
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
レジストリ名は、リポジトリを所有するGitHubアカウント Khamel83 で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
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
パソコンで動き、代わりにローカルの設定を使います
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
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。
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。
入力が必要なもの:ARGUS_WOLFRAM_API_KEY, ARGUS_BRAVE_API_KEY, ARGUS_TAVILY_API_KEY, ARGUS_EXA_API_KEY, ARGUS_SERPER_API_KEY, ARGUS_LINKUP_API_KEY
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)。
GitHubリポジトリの最終更新は–、最新バージョン(1.6.5)がレジストリに届いたのは15 日前です。
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Python (uv)も必要です。
同じカテゴリには:Context7, Codebase Memory, Exa
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
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.
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。
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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