Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Web search and page reading: news, papers, people, patents and places, with sources and cost.
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.
Authorization비밀로 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.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
터미널에서 이 명령어를 실행하세요
claude mcp add --transport http search https://metasearch.sh/mcp --header 'Authorization: your-value'실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"search": {
"url": "https://metasearch.sh/mcp",
"headers": {
"Authorization": "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": {
"search": {
"type": "http",
"url": "https://metasearch.sh/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
Authorization 비밀 HTTP header이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
도구 이름과 설명은 서버가 2026년 11월 6일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
searchUse this when the answer needs current or sourced information from the web: news, papers, people, posts on X, TikTok, Instagram and YouTube, Reddit and Hacker News discussions, patents, places, images or general queries. social: posts and videos with views, likes, comments and au
fetchUse this to read one public web page as markdown, by a search result's `id` or any http(s) URL. Returns {id, title, text, url, metadata}; up to 40,000 characters a call, and a longer page continues with `offset` = metadata.next_offset, served from the page just read and not charg
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
게시자(metasearch.sh)가 저장소 소유자(paperfoot)가 아니에요. 다른 사람이 등록했을 수 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
292ms 만에 응답(HTTP 200)
로그인 필요 없음
도구 설명 2개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 2개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: Authorization
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.1.1)은 3일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
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.
One command sends a query to several of ten search engines at once, fuses the results, and tells you what each search cost.
Install · No keys? · Modes · TikTok, YouTube and more · Reddit and HN · Cost · Extract · Agents · Plugins and MCP
search is a single Rust binary for AI agents and the people who run them. It searches with Serper, Exa, Jina, Brave, Linkup, Parallel, Tavily, Perplexity, SerpApi and xAI, searches TikTok, Instagram, YouTube, Facebook, Threads and X for posts and videos (with transcripts and top comments), searches Reddit and Hacker News with no key, reads pages with two fetchers of its own and then Jina, Firecrawl or Browserless, merges what comes back with reciprocal rank fusion, and prints one JSON document with the results, the engines that answered, the ones that failed and why, and the cost.
search "CRISPR gene therapy trials"
brew install paperfoot/tap/search-cli # macOS and Linux
cargo install agent-search # any platform with Rust curl -fsSL https://metasearch.sh/install | sh # macOS and Linux, x86_64 and arm64
The install script downloads the release binary for your platform and checks it against the release's SHA256SUMS before installing. search update downloads the latest GitHub release and replaces the binary, without that check.
The Linux binaries include the stealth fetcher, as the macOS ones do. To build from source on Linux, install cmake, clang, libclang-dev, perl and pkg-config first (BoringSSL needs them), or drop the fetcher with cargo install agent-search --no-default-features.
search loginsearch login # prints a code and opens metasearch.sh in your browser
search "rust async runtimes"
search login signs you in to metasearch.sh with a device code; --no-browser prints the URL for SSH sessions. Logging in is free; searches on metasearch.sh are paid from the balance you top up. After that:
metadata.cost and how each engine was reached in metadata.transport (direct, local or hosted).-p, metasearch.sh picks the engines: the cheapest one first, a pricier one only when the first list is thin, and two social platforms at most. It also answers a repeated search from its own cache, at the stored price, and marks it metadata.routing.cached. With -p, the engines you name are sent as you give them; in extract and the one-engine modes they are tried one at a time, in order, so only the first that answers is charged. Beside an engine you run with your own key, the call goes to the first engine of the mode you have no key for (in extract, each hosted step keeps its place in the chain), so no engine runs twice.--no-cache skips both caches: the one on your machine and the one on metasearch.sh.search whoami # account, balance and key
search logout --revoke # forget the key here and revoke it on the server
On a CI runner or in a container, export a key from the dashboard instead: METASEARCH_API_KEY=ms_live_... (or METASEARCH_TOKEN, which wins when both are set).
Any combination works, even one key. Environment variables beat the config file, so a key exported in a shell or injected by CI always wins.
export SERPER_API_KEY=... # the provider's usual variable
export SEARCH_KEYS_EXA=... # or the SEARCH_KEYS_ form echo "$KEY" | search config set keys.brave - # or the config file; "-" reads stdin search config check # which engines have a key search doctor # test each engine you have a key for (one billed query each)
Precedence: _API_KEY env, then SEARCH_KEYS_ env, then the config file. The variables are SERPER_API_KEY, EXA_API_KEY, JINA_API_KEY, BRAVE_API_KEY, LINKUP_API_KEY, PARALLEL_API_KEY, TAVILY_API_KEY, PERPLEXITY_API_KEY, SERPAPI_API_KEY, XAI_API_KEY, FIRECRAWL_API_KEY and BROWSERLESS_API_KEY. The config file is ~/.config/search/config.toml on Linux and ~/Library/Application Support/search/config.toml on macOS, created with mode 0600; config.example.toml lists every setting.
With no -m, the mode is auto, in search "…" and search search -q "…" alike. Auto applies fixed rules first: a lone URL is extract; "tweets", "Twitter", "on X", x.com/ or a lone @handle is social on X; "tiktok", "instagram reels", "youtube", "youtube comments", "on threads" or "facebook page" is social on that platform (not "youtube api", "tiktok sdk" or "embed a youtube video"); "reddit", "subreddit", "hacker news", "on HN", r/ , "what do people say about", "opinions about" or "experiences with" is community (not "reddit api", "reddit stock", a unit such as "r/min", or "HN" alone); similar to (or "sites like", "alternatives to") is similar; "patent" (not "patent leather"), "prior art" or a patent number such as US 10123456 or EP1234567 is patents; "images of" or "logo for" is images, except system images such as Docker, container or VM images. Web-development uses ("Twitter card", "embed a tweet"), "on X axis", code at-words (@property, @media, @types/node) and email addresses are not X cues. When you are logged in, metasearch.sh's routing model, a small classification model, picks among the remaining modes. Without login, or when the model does not answer within 1.2 s, keyword rules decide (places, scholar, academic, people, then news), and anything else is general. Auto never picks deep, and picks social only on a platform cue: those two cost more and must be asked for.
In news and social, auto turns a time word into a freshness filter when you gave no -f: "today" and "yesterday" mean day; "this week", "latest" and "breaking" mean week; "this month" and "this year" mean month and year. The decision, its source and its reason are in metadata.routing.auto.
Pass -m to choose the mode yourself; an explicit -m or -p is always obeyed. If the engines you name with -p cannot serve the mode auto picked, the search runs as general with source fallback (as community when you name only reddit or hackernews, and social when you name only platforms such as tiktok).
| Mode | Use it for | -q is | Engines, in order |
|---|---|---|---|
auto | Default: picks one of the modes below and says why | query or URL | |
general | Any web lookup | query | serper, exa, jina, brave, linkup, parallel, tavily, perplexity |
news | Current events; add -f day or -f week | query | serper, brave, linkup, parallel, tavily, perplexity |
academic | Papers and studies on a topic | query | exa, serper, tavily, perplexity |
scholar | Google Scholar records: citations, versions, PDFs | query | serper, serpapi |
deep | Wide coverage when recall matters more than cost; use -c 30 | query | exa, serper, brave, linkup, parallel, tavily, perplexity, xai |
people | A person, their role, their LinkedIn profile | query | exa |
social | What X, TikTok, Instagram and YouTube show: X plus the likeliest other platform, two paid calls at most; a platform cue pins one, and Threads and Facebook pages run on their cue | query | xai, tiktok, instagram, youtube (threads, facebook on a cue) |
community | What real people say on Reddit and Hacker News | query | reddit, hackernews |
patents | Prior art, patent families | query | serper |
images | Images; the picture is image_url, url is the page | query | serper |
places | Local businesses and maps | query | serper |
extract | Read one page as markdown (a Reddit or HN thread URL goes to reddit or hackernews first, a TikTok, Instagram, YouTube, Facebook or Threads URL to that platform) | URL | direct, stealth, jina, firecrawl, browserless |
scrape | Same as extract | URL | same as extract |
similar | Pages like this one | URL | exa |
Fused modes (general, news, academic, scholar, deep, social, community) query their engines at once and rank with reciprocal rank fusion: a URL that several engines return ranks above any one engine's top hit, and extra.also_found_by shows which engines agreed. A fused search waits for every engine until the mode's deadline, because an engine that received the query bills for it whether or not the CLI waits; engines still running at the deadline are listed in metadata.providers_timed_out. social is the exception: once one platform has answered, it waits at most 20 s for the rest, so one slow platform cannot hold up the search. extract tries engines in order and stops at the first real page. The other modes use one engine. search agent-info prints this table from the same registry the engine uses.
When you are logged in, results in general, news, academic, scholar, people and deep are reranked by relevance once there are at least 3: metadata.routing.reranked is true and each result carries extra.relevance (0 to 1). A search pinned to one engine with -p keeps that engine's order, --no-rerank keeps the fused order, and a failed rerank keeps it too (reranked: false). Without login, auto and rerank-mode searches carry the note "log in for model routing and reranking (free)" in metadata.notes.
search "who is the CEO of Anthropic" # auto picks people
search search -q "transformer interpretability" -m academic search search -q "AI agent frameworks" -m news -f week search search -q https://example.com/post -m extract search search -q "rust error handling" -p exa,serper # only these engines search --x "Claude Code" # X only search --tiktok "Claude Code" # TikTok only (also --instagram, --youtube, --threads)
The shorthand search "…" takes only the global flags (--json, --quiet, --last, --debug, and --x, --tiktok, --instagram, --youtube, --threads). A search flag after it (-m, -p, -c, -f, -d, --no-cache and the rest, --flag=value too) exits 3 with an error that shows the full form, search search -q "…". -f takes day, week, month or year; anything else exits 3.
search "mechanical keyboard on tiktok" # TikTok only
search search -q "mechanical keyboard" -m social --json # X plus the likeliest platform search "https://www.youtube.com/watch?v=3rKPzh3Pr0o" # the video, transcript, top comments search "https:
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요