Vexa
Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.
Beschreibung vom Entwickler (englisches Original)
Android phone camera, sensors & files for any MCP client — local, no cloud, no ADB.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"onsense": {
"command": "uvx",
"args": [
"onsense",
"serve"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add onsense -- uvx onsense serveIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"onsense": {
"command": "uvx",
"args": [
"onsense",
"serve"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"onsense": {
"type": "stdio",
"command": "uvx",
"args": [
"onsense",
"serve"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto hufirst bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.3.20) kam vor 3 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Python (uv) auf deinem Computer.
In derselben Kategorie: Vexa, emailmd, MCP WhatsApp Cloud
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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
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