Browser Use
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
제작자가 쓴 설명(영어 원문)
Multi-engine web search, fetch, browser control. 11 tools, keyless lanes.
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.
GROQ_API_KEYS, TAVILY_KEYS, NV_KEY, SE_KEY, S2_KEY비밀로 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": {
"websearch": {
"command": "uvx",
"args": [
"skdev-websearch-mcp"
],
"env": {
"GROQ_API_KEYS": "your-value",
"TAVILY_KEYS": "your-value",
"NV_KEY": "your-value",
"SE_KEY": "your-value",
"S2_KEY": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add websearch --env GROQ_API_KEYS=your-value --env TAVILY_KEYS=your-value --env NV_KEY=your-value --env SE_KEY=your-value --env S2_KEY=your-value -- uvx skdev-websearch-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"websearch": {
"command": "uvx",
"args": [
"skdev-websearch-mcp"
],
"env": {
"GROQ_API_KEYS": "your-value",
"TAVILY_KEYS": "your-value",
"NV_KEY": "your-value",
"SE_KEY": "your-value",
"S2_KEY": "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": {
"websearch": {
"type": "stdio",
"command": "uvx",
"args": [
"skdev-websearch-mcp"
],
"env": {
"GROQ_API_KEYS": "your-value",
"TAVILY_KEYS": "your-value",
"NV_KEY": "your-value",
"SE_KEY": "your-value",
"S2_KEY": "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.
이 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 SK-DEV-AI 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: GROQ_API_KEYS, TAVILY_KEYS, NV_KEY, SE_KEY, S2_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(1.10.0)은 12일 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: Browser Use, Chrome DevTools MCP, MCP Server Browser
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
MCP server for Chrome DevTools
MCP server for browser use access
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
mcp-name: io.github.SK-DEV-AI/websearch
Companion agent skills: SK-DEV-AI/skills · npx skills add SK-DEV-AI/skills
Multi-engine web search + fetch MCP server. Parallel fan-out across DuckDuckGo, Bing Web/News RSS, Tavily, Wikipedia, arXiv, Google News RSS, Brave (last resort — rate-limited from some networks), Google AI Mode, and intent-gated vertical lanes (MDN, Stack Exchange, GitHub, HN, Semantic Scholar, OSV vuln, grep.app/Sourcegraph code, GDELT news) — with consensus-merge dedup, a local cross-encoder reranker, and Groq synthesis with grounding checks.
depth defaults to 3 when a model lane is configured (more independent sources; measured) and 1 otherwise. Depth also sets how many pages are fetched: max(5, depth*2), ceiling 8. synthesize returns a short, cited answer that never invents: it says which source backs each claim, surfaces disagreement instead of averaging it, and marks itself truncated when it ran out of budget.offset). Optional distill (see below). For structured JSON use extract.fetch for one.stop_reason so you know whether the site was exhausted or a cap stopped it. Use for "read this whole docs site".javascript:/mailto:, dedups. Use before crawl or to find a "next" button.tables_found so you can pick one.dest_dir and refuses path traversal. Marks truncated if the byte cap stopped the transfer.had_previous: false.fetch. Pass session_id to reuse a persistent tab.browser_action call gets a fresh tab and closes it, so logins and cookies cannot survive. See below.effect (navigated / content_changed / none) so a submit that silently did nothing is visible rather than assumed.stop_reason.papers).Every one of these exists because an agent otherwise writes a one-off script:
| The task | The tool |
|---|---|
| Fetch 20 URLs | fetch_many |
| Read a whole docs site | crawl |
| Get every link on a page | extract_links |
| Pull a pricing table into CSV | extract_table |
| Save a PDF and get its path | download |
| "Did this page change?" | diff_page |
| Log in, then act across several calls | browser_session + browser_action(session_id=...) |
| Fill and submit a form | form_fill_submit |
| Walk "next" through pages | paginate |
browser_action opens one fresh tab per call and closes it afterwards. That is right for a single read, but it makes any interactive workflow impossible: no login, no cookies, no scroll position, no multi-step flow across calls.
A session is a named, long-lived tab:
browser_session(action="create", label="login", url="https://site.example/login")
browser_action(action="type", selector="#email", text="me@example.com", session_id="login-1a2b3c4d") browser_action(action="click", selector="#submit", session_id="login-1a2b3c4d") browser_action(action="text", session_id="login-1a2b3c4d") # same tab, still logged in browser_session(action="close", session_id="login-1a2b3c4d")
Sessions are opt-in: without session_id, behaviour is exactly as before. They are capped at 8 with least-recently-used eviction, tabs are always closed (including on eviction), and metadata is mirrored to ~/.cache/websearch/sessions.json so list can explain what survived a restart. Sessions need a browser, so they are local-only.
A fetched page can be 50k characters. The calling model pays for all of it even when it needed one fact. fetch(distill=true) runs a small model inside the tool first and returns a compressed result:
fetch(url="https://example.com/long-report", distill=True,
distill_question="What are the pricing tiers?")
The result never pretends to be the page:
| Field | Meaning |
|---|---|
distill.distilled | whether a summary was produced |
distill.raw_chars | size of the original text |
distill.grounded | whether every number and quoted span was found in the source |
distill.grounding.numbers_unverified | figures in the summary that do not appear in the source |
distill.grounding.quotes_unverified | quoted spans that are not verbatim |
distill.how_to_get_raw | how to get the untouched text: distill=false |
Below the size threshold (default 4000 chars) distillation is skipped and the raw text is returned, because a summary would cost more than it saves. On any failure the raw text is returned with distill_skipped explaining why - a broken summary is never returned in place of the page.
| Variable | Default | Meaning |
|---|---|---|
DISTILL_BASE_URL | http://127.0.0.1:11435/v1 | any OpenAI-compatible endpoint |
DISTILL_MODEL | reflection/beam:free | model id |
DISTILL_API_KEY | none | bearer token; without it the lane stays off |
DISTILL_RETRIES | 3 | attempts per call (1-10) |
DISTILL_MAX_TOKENS | 3000 | initial completion budget |
DISTILL_MAX_TOKENS_CEILING | 12000 | ceiling when escalating after empty content |
DISTILL_TIMEOUT | 90 | seconds per request |
DISTILL_THRESHOLD_CHARS | 4000 | below this, skip distillation |
search does not just rank results; it writes the answer. That answer is generated from the retrieved text alone, under rules that exist to stop the three failure modes of a search summary:
| Failure | What the prompt does |
|---|---|
| Invention | Nothing from the model's own knowledge. A claim with no citable source is deleted, not softened. If the results do not answer the question, saying so is the correct answer. |
| Bias | Rank is not evidence. The prompt says so explicitly, caps how many sources can come from one domain, requires disagreement between sources to be reported rather than averaged into a number that appears in no source, corrects false premises in the question, and labels vendor claims as vendor claims. |
| Injection | Results are wrapped in and declared untrusted data. A page that says "ignore previous instructions" is data, not instruction; the model must exclude it and say it did. |
Concision is structural, not a wish: a sentence ceiling, an answer-first rule, and a named ban on filler phrasing ("it is important to note", "overall", ...).
Everything is verifiable rather than claimed:
prompt_version, so a quality change can be tied to a revision instead of guessed attemperature is 0, so the same sources give the same textfinish_reason and truncated are returned; a half sentence is labelled instead of looking like a complete thoughtdiversity reports the source mix and whether the per-domain cap had to relaxas_of reports the newest publication date among the sources, and undated sources are labelled "Published: not stated", so freshness is never impliedduplicates_removed counts syndicated copies collapsed before synthesis, and figures_unverified lists numbers the answer contains that appear in no cited source (deterministic, no model call)unusable_sources names the results that could not become evidence - a 404, an error page, or a page with under 400 chars of text - with the reason, and unreadable_sources counts the ones with no text at allfollow_ups and marks synthesis.round = 2. Bounded: once per call, only under a 75s budget, and follow_up=false disables itgrounded) re-reads the answer against the exact text the first pass saw and flags sentences no cited source supports. It is marked advisory because it is another model's opinion, not a proofAll 20 tools carry MCP annotations (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) so a client can tell a read from an action: search and fetch are read-only, download writes a local file without being destructive, browser_session changes local browser state only, and browser_action / form_fill_submit are marked destructive because a click or a form submit can have an effect that cannot be undone from here.
MCP clients cut a tool call at their own timeout (jcode: 300 s) and report a bare Request timeout after 300s with no payload. Measured over one day on a single busy server: 314 calls, median 2.7 s, p90 123 s, max 225 s, and 33 hard client timeouts — the tail is the problem, not the median. So the server bounds its own work instead of hoping the client waits:
| Env | Default | Meaning |
|---|---|---|
WEBSEARCH_TOOL_DEADLINE | 240 | Seconds one tool call may run. Keep it under the client timeout. 0 disables the bound |
WEBSEARCH_MAX_CONCURRENT | 8 | Simultaneous tool calls. Extra callers wait, then get busy. 0 = unlimited |
| WEBSEARCH_QUEUE_WAIT | 20 | Seconds a call may wait for a free slot before being answere
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