Vexa
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제작자가 쓴 설명(영어 원문)
Android phone camera, sensors & files for any MCP client — local, no cloud, no ADB.
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": {
"onsense": {
"command": "uvx",
"args": [
"onsense",
"serve"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add onsense -- uvx onsense serve프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"onsense": {
"command": "uvx",
"args": [
"onsense",
"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": {
"onsense": {
"type": "stdio",
"command": "uvx",
"args": [
"onsense",
"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 8일 점검
레지스트리 이름이 GitHub 계정 hufirst 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(0.3.20)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: Vexa, emailmd, MCP WhatsApp Cloud
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.
Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.
MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Don't describe it. Let your AI see it. onsense is the PC-side MCP broker for the onSense Android app: run uvx onsense pair on your PC, and any MCP-capable AI — Claude Code, Claude Desktop, Codex, or your own agent — can see through your phone's camera, read its sensors, and move files & clipboard both ways. No cloud relay. No ADB.
*Claude Code, running on the PC, reads the phone's sensors and looks through its camera to answer — live, over local Wi-Fi.*
*…and the same with Codex. onSense is a standard MCP server, so any MCP client works.*
Android phone (onSense app) PC (this package) AI client
HTTP provider :8080 ←→ stdio MCP broker Claude / Codex / … camera frames, photos, onsense serve natural-language or sensors, QR pairing onsense clip :8770 /onsense tool calls
onsense) is a stdio MCP broker. It translates MCP tool calls from your AI client into HTTP requests to the phone._onsense._tcp.local.). If the phone's IP changes, the broker rediscovers it automatically — no manual reconfiguration needed.uvx; downloads a managed Python automatically — no separate Python install needed)On a clean PC, uvx doesn't exist yet and the command below will fail with *"'uvx' is not recognized"*. The easiest fix: install the onSense app first, tap "Start PC setup helper", and open the shown address on your PC. It gives you a one-line command that installs uv, pairs, and registers the MCP server in one go — and because the PC connects *out* to the phone, it also sidesteps the Windows firewall entirely.
Prefer installing uv yourself? One line:
# Windows (PowerShell)
irm https://astral.sh/uv/install.ps1 | iex $env:Path = "$env:USERPROFILE\.local\bin;$env:Path" # make uvx visible in this same shell
# macOS / Linux
curl -LsSf https://astral.sh/uv/install.sh | sh export PATH="$HOME/.local/bin:$PATH"
Run this once. The PC prints a QR code; scan it from the onSense app ("Scan PC QR"). The phone pushes its address and token to the PC, which registers the MCP server automatically.
uvx onsense pair
After pairing, restart your AI client once so it picks up the new onsense MCP server.
Ask your AI client naturally:
"Take a photo of what's in front of my phone."
"What are the current sensor readings?"
"Show me the last 5 photos on my phone."
The MCP tools are called automatically. In Claude Code you can also use the bundled `/onsense` slash command (installed during pairing).
uvx onsense doctor # checks Python, uv, MCP, Claude registration, mDNS, phone reachability
uvx onsense doctor --base http://192.168.1.5:8080 --token YOUR_PAIRING_TOKEN
The #1 cause is the Windows firewall dropping the phone's inbound connection:
uvx onsense pair --fix-firewall
The first-run firewall popup is *program-path-scoped* and uvx's ephemeral paths silently invalidate it — the port-scoped rule above (TCP 8765–8774, Private) is what actually sticks.
pair automatically falls back to the next free port (up to 8774) and the QR reflects the real port — no action needed.| Command | What it does |
|---|---|
uvx onsense pair | Display a QR code on the PC; phone scans it and pushes {base, token}; registers MCP automatically |
uvx onsense pair "onsense://pair?base=...&token=..." | Parse a pairing URI directly (phone-displayed QR → manual copy) |
uvx onsense pair --img screenshot.png | Decode a pairing QR from a screenshot file (requires opencv) |
uvx onsense serve | Run the MCP server (stdio). Also starts the clip daemon automatically unless --no-clip is passed |
uvx onsense serve --no-clip | Run the MCP server only, without starting the clip daemon |
uvx onsense clip | Run the clip bridge daemon standalone (port 8770) |
uvx onsense clip --allow-pull | Enable phone→pull: phone can GET /clip to retrieve the PC clipboard |
uvx onsense clip --set-clipboard | Auto-inject received content into the PC OS clipboard (off by default) |
uvx onsense pair --fix-firewall | (Windows, admin) Add the durable port-scoped firewall rule, then pair as usual |
uvx onsense doctor | Diagnose installation, connectivity, and phone reachability |
uvx onsense stats | Show local-only activation stats (--json, --reset). Nothing is uploaded automatically |
uvx onsense pair auto-registers the server with Claude Code (via claude mcp add) — this one-line auto-setup is Claude Code-specific. The MCP server itself is standard stdio MCP, so any MCP-compatible client works once you add it manually. Run uvx onsense pair once first: it saves your phone's address and token to ~/.onsense/pair.json, which the server reads at request time — so you don't put the token in each client's config, and the phone's IP is auto-tracked via mDNS.
Claude Desktop — add to claude_desktop_config.json:
{ "mcpServers": { "onsense": { "command": "uvx", "args": ["onsense", "serve"] } } }
Codex — register via the CLI (verified with Codex CLI 0.142.5):
codex mcp add onsense -- uvx onsense serve
Codex sandbox note: Codex's default sandbox blocks network access, so the MCP server can't reach your phone and tool calls fail silently. Run Codex with network access enabled (e.g.
--sandbox danger-full-access, or a sandbox policy that permits network) so onsense can talk to the phone on your LAN.
or add to ~/.codex/config.toml:
[mcp_servers.onsense]
command = "uvx" args = ["onsense", "serve"]
Restart the client once after adding the server. Any other stdio MCP client works the same way — point it at uvx onsense serve.
These tools are exposed to your AI client after pairing:
| Tool | Description |
|---|---|
get_live_frame() | Capture the current camera frame from the phone (returns JPEG image) |
read_sensors() | Return phone sensor readings as JSON: battery level/charging state, ambient light (lux), accelerometer (x/y/z) |
recent_photos(limit=10) | List recent photos on the phone: id, name, date_added, size, width, height |
get_photo(id, max_width=1024, save_original=False) | Fetch a specific photo by id (downscaled to max_width); use ids from recent_photos. Also saves it to the same Downloads folder as get_reference and returns the path, so the image survives the conversation. save_original=True archives full resolution instead of the downscaled copy |
rename_photo(path, name) | Rename a fetched file to describe what the image actually shows (photo_1000024531.jpg → whiteboard_sprint_plan.jpg). The AI calls this right after viewing, so it costs no extra tokens |
get_reference() | Fetch whatever the phone has designated as its reference source — a live camera frame, a captured photo, or an arbitrary file (incl. non-images) — saved to disk with path + metadata. The core of the file/capture bridge |
get_cam_fps() | Read the phone's current camera FPS setting (15 = high-performance, 2 = balanced, 0 = on-demand) |
set_cam_fps(fps) | Set the phone's camera FPS: 15 (high-performance), 2 (balanced, recommended), or 0 (power-saving / on-demand) |
If the phone's IP changes, the broker retries using mDNS autodiscovery before surfacing an error.
onsense serve automatically starts a clip daemon on port 8770. You can also run it standalone with onsense clip.
The onSense Android app can push content to the PC:
latest.jpg (in ONSENSE_CLIP_DIR, default /onsense/).--set-clipboard is active, images and text are also injected into the PC OS clipboard so you can paste with Ctrl+V immediately.By default, --set-clipboard is off — files are saved to disk but the clipboard is not touched.
Off by default. Enable with:
uvx onsense clip --allow-pull
When enabled, the phone can GET /clip to retrieve the current PC clipboard content (copied files first, then images, then text). Returns 204 if the clipboard is empty.
| Variable | Default | Purpose |
|---|---|---|
PHONE_BASE | (from pairing) | Phone HTTP base URL, e.g. http://192.168.1.5:8080 |
PHONE_TOKEN | (from pairing) | Pairing auth token |
ONSENSE_CLIP_DIR | /onsense | Directory where pushed files are saved |
ONSENSE_CLIP_MAX_MB | 200 | Maximum incoming file size in MB (0 = unlimited) |
ONSENSE_CLIP_ALLOW_PULL | 0 | Set to 1 to enable PC→phone pull without the CLI flag |
ONSENSE_CLIP_SET_CLIPBOARD | 0 | Set to 1 to auto-inject into OS clipboard without the CLI flag |
ONSENSE_TEST_FRAME | (unset) | Local JPEG path returned by get_live_frame when phone is unreachable |
Local network only. The PC-side services bind to all interfaces but reject connections from non-private IP addresses at the application layer. They are not intended to be exposed to the internet.
HMAC request signing. The pairing token is never sent in cleartext. Every authenticated request is signed with HMAC-SHA256 over METHOD\npath\ntimestamp\nnonce\nalgorithm, keyed by a signing key derived from the pairing token via HKDF-SHA256 (a key separate from the encryption key), and carries X-Ts / X-Nonce / X-Sig / X-Enc headers. Servers verify in constant time, reject timestamps outside a ±300 s window, and reject reused nonces — so a sniffed request cannot be replayed and the token cannot be stolen off the wire. New Android installs generate a 128-bit random token, stored on the phone and in ~/.onsense/pair.json (chmod 600) after pairing. (The /health endpoint is unauthenticated.) See PROTOCOL.md for the exact wire format.
Pull and clipboard injection are off by default. GET /clip (phone pulls PC clipboard) and OS clipboard auto-injection (phone push → Ctrl+V) are disabled unl
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요