Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
OSINT sweep of a digital footprint: breaches, accounts, data brokers, domains and IPs
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.
HIBP_API_KEY, IPINFO_TOKEN, SHODAN_API_KEY, VIRUSTOTAL_API_KEY, ANTHROPIC_API_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": {
"clearfront": {
"command": "uvx",
"args": [
"clearfront",
"clearfront-mcp"
],
"env": {
"HIBP_API_KEY": "your-value",
"IPINFO_TOKEN": "your-value",
"SHODAN_API_KEY": "your-value",
"VIRUSTOTAL_API_KEY": "your-value",
"ANTHROPIC_API_KEY": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add clearfront --env HIBP_API_KEY=your-value --env IPINFO_TOKEN=your-value --env SHODAN_API_KEY=your-value --env VIRUSTOTAL_API_KEY=your-value --env ANTHROPIC_API_KEY=your-value -- uvx clearfront clearfront-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"clearfront": {
"command": "uvx",
"args": [
"clearfront",
"clearfront-mcp"
],
"env": {
"HIBP_API_KEY": "your-value",
"IPINFO_TOKEN": "your-value",
"SHODAN_API_KEY": "your-value",
"VIRUSTOTAL_API_KEY": "your-value",
"ANTHROPIC_API_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": {
"clearfront": {
"type": "stdio",
"command": "uvx",
"args": [
"clearfront",
"clearfront-mcp"
],
"env": {
"HIBP_API_KEY": "your-value",
"IPINFO_TOKEN": "your-value",
"SHODAN_API_KEY": "your-value",
"VIRUSTOTAL_API_KEY": "your-value",
"ANTHROPIC_API_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 도메인 clearfront.sh 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
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: HIBP_API_KEY, IPINFO_TOKEN, SHODAN_API_KEY, VIRUSTOTAL_API_KEY, ANTHROPIC_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(2.7.3)은 3개월 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: Spec Driven Development, Remote Desktop Commander, dotnet-mcp
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
MCP server for .NET symbols, XAML, source generators, and restricted workspace edit
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Clearfront Open-source AI intelligence on your digital footprint. Clearfront, also known as Clearfront OSINT, is a free and open-source OSINT agent. Give it an email, username, domain, IP, or name, and its AI security analyst scans 3,400+ public data sources in one sweep, then returns a calibrated report and an interactive evidence graph. Check your own exposure, or investigate an authorized target. It runs locally with your own API keys and sends nothing to us. Interactive REPL · CLI · local web console · MCP server · agent skill. Powered by Anthropic Claude, a local Ollama model, or any OpenAI-compatible endpoint.
[clearfront.sh](https://clearfront.sh) · Disclaimer
asyncio.gather() with hard subprocess timeoutsLegal Disclaimer: Clearfront is intended for legal and authorized use only.
Users are solely responsible for ensuring their use complies with all applicable laws and regulations.
The authors accept no liability for misuse. See DISCLAIMER.md.
Clearfront is an AI agent for Open Source Intelligence with five interfaces: an interactive terminal REPL, a direct CLI, a browser-based web console, an MCP server exposable to Claude Code, Claude Desktop or any MCP-compatible client, and an agent skill for any client following the Agent Skills standard. The AI layer uses Anthropic's native tool use API (or a local Ollama model, or any OpenAI-compatible endpoint): the model issues hard stops when it needs a tool, your code executes the real binary, the actual output goes back, hallucination in tool results is structurally impossible.
pip install clearfront
Or from source, if you want to modify it:
git clone https://github.com/scottmartinanderson/clearfront
cd clearfront pip install -e .
External binaries (must be in PATH):
| Binary | Purpose | Install |
|---|---|---|
holehe | Email account enumeration | pip install holehe |
sherlock | Username enumeration (300+ platforms) | pip install sherlock-project |
sublist3r | Subdomain enumeration | pip install sublist3r |
phoneinfoga | Phone number intelligence | Download binary |
theHarvester | Passive domain recon (emails/subdomains) | pip install git+https://github.com/laramies/theHarvester.git |
If a binary is absent, the corresponding tool returns a descriptive error string. All other tools remain operational.
# Interactive AI REPL (default)
clearfront
clearfront web
clearfront email target@example.com
Store all keys in a .env file at the project root (copy .env.example). python-dotenv loads it automatically at startup.
| Variable | Tool | Required | Purpose |
|---|---|---|---|
ANTHROPIC_API_KEY | AI agent | Yes (or use Ollama / OpenAI) | Anthropic API key |
OPENAI_BASE_URL | AI agent | Optional | Base URL of an OpenAI-compatible endpoint (e.g. http://localhost:4000/v1). When set and ANTHROPIC_API_KEY is absent, it is used as the AI backend (takes precedence over Ollama). The model must support tool/function calling. |
OPENAI_API_KEY | AI agent | Optional | API key for the OpenAI-compatible endpoint (local servers may ignore it) |
OPENAI_MODEL | AI agent | Optional | Model name to request from the endpoint (default: gpt-4o-mini) |
HIBP_API_KEY | search_breach | Optional | HaveIBeenPwned v3, get one |
IPINFO_TOKEN | search_ip | Optional | ipinfo.io higher rate limits |
SHODAN_API_KEY | search_shodan | Optional | Shodan API, get one |
VIRUSTOTAL_API_KEY | search_virustotal | Optional | VirusTotal API v3, get one |
IP2LOCATION_API_KEY | search_ip2location | Optional | IP2Location.io enhanced IP intelligence, get one |
CENSYS_PAT + CENSYS_ORG_ID | search_censys | Optional | Censys Platform API: Personal Access Token + Organization ID, get one |
ABUSEIPDB_API_KEY | search_abuseipdb | Optional | AbuseIPDB v2, get one |
GITHUB_TOKEN | search_github | Optional | GitHub API, raises rate limit from 60 to 5000 req/h, get one |
SERPER_API_KEY | search_dorks_live, search_footprint | Optional | Serper.dev Google SERP API, the preferred SERP backend (~$1/1k, 2,500 free), get one. |
BRIGHTDATA_API_KEY | search_dorks_live, scrape_url | Optional | Bright Data API key, get one (free tier: 5,000 req/month). |
BRIGHTDATA_SERP_ZONE | search_dorks_live | Optional | Your Bright Data SERP API zone name (e.g. serp_api1). |
BRIGHTDATA_UNLOCKER_ZONE | scrape_url | Optional | Your Bright Data Web Unlocker zone name (e.g. web_unlocker1). |
The Bright Data link above is a referral link; signing up through it supports Clearfront at no extra cost to you.
Optional Python packages:
| Package | Purpose | Install |
|---|---|---|
ollama | Local LLM backend (no API key) | pip install ollama *(also install the Ollama runtime)* |
openai | OpenAI-compatible backend for the REPL/CLI (--provider openai) | pip install "clearfront[openai]" |
shodan | Shodan API client | pip install shodan |
reportlab | PDF report export | pip install reportlab |
censys | Censys API client | pip install censys |
| Tool | Powered by | What it investigates |
|---|---|---|
search_email | holehe | Social accounts linked to an email address |
search_username | sherlock | Username presence across 300+ platforms |
search_breach | HaveIBeenPwned v3 API | Data breach exposure |
search_whois | python-whois | Domain registrant and DNS info |
search_ip | ipinfo.io | Geolocation, ASN, hostname |
search_domain | sublist3r | Subdomain enumeration |
search_crt | crt.sh | Subdomains from certificate transparency (keyless, passive) |
search_wayback | Internet Archive | Historical/deleted URLs archived under a domain (keyless, passive) |
search_greynoise | GreyNoise Community | Mass-scanner noise vs. targeted actor for an IP (free, 50/week) |
generate_dorks | built-in | 12 targeted Google dork URLs (no network calls) |
search_paste | psbdmp.ws | Pastebin dump mentions |
search_phone | phoneinfoga | Carrier, country, line type |
search_shodan | Shodan API | Open ports, banners, CVEs |
search_virustotal | VirusTotal API v3 | Verdict from 70+ antivirus engines |
search_ip2location | IP2Location.io API | Enhanced IP intel: VPN/Proxy/Tor/datacenter flags |
search_censys | Censys Search API | Internet-facing infrastructure, certificates |
search_abuseipdb | AbuseIPDB v2 API | IP abuse reputation: confidence score, reports, country, ISP |
search_github | GitHub REST API | Profile, repos, commit-discovered emails, username/keyword search |
search_dns | dnspython (built-in) | A/AAAA/MX/NS/TXT/CNAME/SOA records; SPF, DMARC, DKIM analysis |
search_dorks_live | Bright Data SERP API | Live Google search results for dork queries (title, URL, snippet) |
scrape_url | Bright Data Web Unlocker | Fetch any URL bypassing Cloudflare/CAPTCHA, returns clean Markdown |
search_maigret | maigret | Username presence across 3,400+ sites |
search_footprint | SERP (Serper / Bright Data / DuckDuckGo) | Search-based footprint discovery for a name or handle |
search_gravatar | Gravatar API | Public Gravatar profile for an email: avatar, display name, linked accounts |
search_emailrep | EmailRep.io | Email reputation and footprint summary |
search_hudsonrock | Hudson Rock Cavalier (free) | Infostealer-exposure check for an email or username (no plaintext credentials) |
search_exif | exiftool | EXIF / IPTC / XMP metadata and embedded GPS from a local file |
search_crypto | public chain APIs | Bitcoin / Ethereum address summary: balance, transaction count |
search_harvester | theHarvester | Passive domain recon: emails, subdomains, hosts |
search_exposure | built-in (composite) | Self-exposure report for an IP across the infrastructure tools |
Run clearfront with no arguments to start the AI-powered REPL. Type a target (email, username, domain, IP, name) or a question; the agent decides which tools to run, chains them on findings, and compiles a report.
REPL commands: , clear, save, tools, config, history, help, exit / Ctrl-D.
All sessions are auto-saved to ~/.clearfront/history/. Browse with clearfront history.
pip install "clearfront[web]"
clearfront web
Browser-based AI chat with streaming tool output, inline result cards, and a light/dark theme toggle. Supports fully local inference via Ollama or any OpenAI-compatible endpoint (no Anthropic API key required when using a local backend).
The console runs entirely locally and binds to 127.0.0.1 by default. Choose your backend and paste your own key in Settings; your keys and the targets you investigate never touch our servers. Screenshots are in media/.
Expose all 30 tools to any MCP-compatible AI client.
Claude Code:
claude mcp add clearfront python /absolute/path/to/clearfront/mcp_server.py
claude mcp list
Claude Desktop, add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": { "clearfront": { "command": "python", "args": ["/absolute/path/to/clearfront/mcp_server.py"] } } }
skills/clearfront-osint teaches an agent how to drive Clearfront: which approach fits a given request, the direct subcommands, how to read the confidence ratings, and the authorized-use rules. I
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요