Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Generic HAR analysis MCP server: index and query captures without burning tokens on raw files.
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.
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": {
"hardly": {
"command": "uvx",
"args": [
"hardly",
"serve"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add hardly -- uvx hardly serve프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"hardly": {
"command": "uvx",
"args": [
"hardly",
"serve"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"hardly": {
"type": "stdio",
"command": "uvx",
"args": [
"hardly",
"serve"
]
}
}
}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 7일 점검
레지스트리 이름이 GitHub 계정 b1tninja 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.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
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(1.0.0)은 9일 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, Microsoft Exchange Online 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.
Exchange Online admin for MSPs: forwarding audits, EWS posture and offboarding, no PowerShell
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
A generic, content-neutral CLI and MCP server for reading and capturing HAR files and turning them into what a client SDK needs: endpoints, forms and labels, data and media kinds, and how credentials and authentication work.
Browser HAR captures are often tens of megabytes. Agents that read them burn tokens and still miss structure. hardly streams a HAR into SQLite once, then exposes small, redacted, paginated tools over MCP (and a matching CLI). Bodies are truncated, secrets are redacted, lists are paginated: you *hardly* need the whole file.
hardly knows technologies (HTML forms, ASP.NET WebForms, GraphQL, OAuth/OIDC, cookies/CSRF, bot walls, ArcGIS REST...) and resource kinds (JSON, CSV, HTML tables, PDF, images...), not any particular site. Downstream SDKs keep their own recipes and vocabularies. See docs/scope.md.
pip install hardly # or: pipx install hardly / uv tool install hardly
pip install 'hardly[capture]' && python -m playwright install chromium # optional: record HARs
To work on hardly itself: pip install -e ".[dev]" (CONTRIBUTING.md).
Python 3.10+. Give an output path to save; otherwise nothing is written. Everything lives in memory unless you pass output_path (hardly session open HAR -o index.db). Python: with open_session(har) as s: ... (integrating.md).
hardly guide mode # which of the three modes fits
hardly session overview path/to/capture.har # counts per server, method and status hardly session site-brief path/to/capture.har # one-screen digest of a server-rendered site hardly endpoint list path/to/capture.har --host api.example.com hardly session report path/to/capture.har # one-pass findings with severity hardly write export path/to/capture.har --format openapi -o api.yaml hardly write export path/to/capture.har --format client_python --host api.example.com -o client.py
For agents, start with hardly_guide_task_plan(goal, har_path, url) (CLI: hardly guide task-plan --goal ...): it returns an ordered plan with example calls and the current environment state.
The CLI and the MCP server share one vocabulary: the command is the tool name without hardly_ (hardly_session_open is hardly session open HAR, hardly_send_entry is hardly send entry HAR 12 --confirm).
| First word | Meaning |
|---|---|
send | sends requests to a real server; needs confirm=true (CLI --confirm), otherwise returns only a plan |
write | writes a file; refuses to replace one unless overwrite=true (--overwrite) |
browser | drives or reads a real browser |
| anything else | only reads loaded data |
Merged tools take a sections list, for example hardly_auth_report(sections=['credentials', 'cookies']). Reference: docs/tools.md (71 tools), docs/cli.md (commands); stability promise: docs/api-stability.md.
| Mode | When | Entry |
|---|---|---|
| archive | A HAR file already exists | hardly_session_open(har_path) then hardly_session_site_brief / hardly_endpoint_list |
| headless | Only a URL; an agent can drive the page | hardly_browser_capture_discover(url, analyze=true, confirm=true) (CLI hardly browser capture-discover URL --analyze --confirm) |
| interactive | Bot wall, captcha, MFA, complex UI | hardly_browser_start(headed=true), ask the person, then hardly_browser_stop |
After any capture, continue in archive mode on the returned session_id. hardly never evades captchas or bot walls: it identifies them and tells you to stop, ask a person, or re-run elsewhere (docs/gate-policy.md). Details: docs/capture.md.
uvx hardly serve # MCP server over stdio (archive mode)
uvx --from 'hardly[capture]' hardly browser --help # with the Playwright capture extra pipx install 'hardly[capture]' # or install the CLI permanently hardly skill install # copy the Agent Skill into ~/.claude/skills/hardly
MCP client config for the published package:
{ "mcpServers": { "hardly": { "command": "uvx", "args": ["hardly", "serve"] } } }
Browser capture needs a local install ([capture] extra, then python -m playwright install chromium; headed capture needs a display). The container image ghcr.io/b1tninja/hardly (multi-arch, built on each release) is for archive/headless analysis only; mount your working directory at /workspace. Release and verification details: docs/releasing.md.
Local venv (recommended; headed capture needs a display):
{
"mcpServers": { "hardly": { "command": "/path/to/hardly/.venv/bin/python", "args": ["-m", "hardly"] } } }
On Windows use ...\\.venv\\Scripts\\python.exe. hardly serve starts the same server.
Docker (offline analysis only; mount your working directory):
python scripts/build_image.py # builds hardly-mcp:latest (Windows: scripts\deploy-docker.ps1)
{
"mcpServers": { "hardly": { "command": "docker", "args": ["run", "--rm", "-i", "-v", "/home/me/work:/workspace", "-e", "HARDLY_WORKSPACE=/workspace", "hardly-mcp:latest"] } } }
Host paths under the mount map to /workspace/.... To skip building locally, use the published image ghcr.io/b1tninja/hardly:latest in place of hardly-mcp:latest.
hardly_guide_task_plan, hardly_guide_mode, hardly_server_status (stale MCP? restart the server), hardly_guide_help(topic).analyze_har, discover_apis, capture_portal, document_api, find_auth_flow, reverse_engineer_api, build_client_sdk, diagnose_blocked_capture, verify_client.hardly://cheatsheet and hardly://docs/ for the bundled docs.hardly skill install [--dest DIR] (default ~/.claude/skills/hardly), or hardly skill print. Source: skills/hardly.| Doc | Contents |
|---|---|
| docs/README.md | Index of all docs |
| docs/scope.md | What is in and out of scope; change checklist |
| docs/cheatsheet.md | One-page quick reference |
| docs/concepts.md | Sessions, index, redaction, modes |
| docs/sdk-workflow.md | Capture to client SDK, step by step |
| docs/reporting.md | hardly_session_report findings |
| docs/catalog.md | Target catalog, TargetAdapter, batch verify |
| docs/capture.md | Headless and interactive capture, recipes, env vars |
| docs/technologies.md | What is detected, per technology |
| docs/architecture.md | Data flow and design rules |
| docs/troubleshooting.md | Common first-use problems |
| docs/tools.md | Generated reference for every MCP tool |
| docs/cli.md | CLI grammar and every command (generated) |
| docs/api-stability.md | What is public and the v1 compatibility policy |
| docs/api-decisions.md | How the v1 names were chosen; old to new names |
from hardly import open_session
with open_session("capture.har") as s: # in memory; pass output_path= to save the index print(s.conn.execute("select count(*) from entries").fetchone()[0])
pytest -q # offline; HARDLY_LIVE_CAPTURE=1 enables live Playwright tests
ruff check .
Live soak against public demo sites (no private HARs): hardly soak live --list, then hardly soak live (or --ids datatables-ajax,quotes-login,…). Catalog covers loopback WebForms/token login, HTML/AJAX tables, form logins, GraphQL, and JSON/OpenAPI — see hardly.live_targets and docs/test-targets.md. CONTRIBUTING.md, AGENTS.md; release notes in CHANGELOG.md.
HAR files often contain live passwords and session tokens. hardly redacts by default, but treat captures as secrets: do not commit or share them, and rotate credentials if one leaked. Use hardly only on targets you are authorised to access. See SECURITY.md.
MPL-2.0. Generated output (stubs, OpenAPI, reports) is not covered; see NOTICE.md.