mcp-server-sensory
Multi-sensory AI communication server for off-grid networks, enabling text to SSTV audio, Morse code, Braille, and more via MCP tools.
README
MCP Server Sensory
Multi-Sensory AI Communication for Off-Grid Networks
Give "eyes" to text-only LLMs via audio pathways.
Part of the HumoticaOS McMurdo Off-Grid Communication Layer.
By Jasper & Root AI from HumoticaOS 💙
The REFLUX Concept
FLUX creates images from text (generative, one-way). REFLUX creates a complete sensory loop - information survives transformations:
FLUX: Text → Image (one way, generative)
REFLUX: Text → Image → SSTV Audio → Radio → Audio → Image → OCR → Text
↑ ↓
└───────────────── Complete Loop ───────────────────────────┘
This is how we give "eyes" to text-only LLMs:
- Encode text into an image
- Encode image to SSTV audio (Robot36, Martin, Scottie)
- Transmit via radio/speaker
- Receive and decode SSTV audio to image
- OCR the image back to text
- Small LLM now has "vision" via audio pathway!
The Vision
┌─────────────────────────────────────────────────────────────┐
│ YOUR MESSAGE │
└─────────────────────────┬───────────────────────────────────┘
│
┌─────────────────┼─────────────────┐
↓ ↓ ↓
┌─────────┐ ┌──────────┐ ┌──────────┐
│ MORSE │ │ BRAILLE │ │ SSTV │
│ .--. │ │ ⠓⠑⠇⠇⠕ │ │ REFLUX! │
└────┬────┘ └────┬─────┘ └────┬─────┘
↓ ↓ ↓
AUDIO VISUAL AUDIO
LIGHT TACTILE IMAGES
VISUAL PUNCHCARD RADIO
Installation
pip install mcp-server-sensory
Or use the short alias:
pip install sensory
With audio support:
pip install mcp-server-sensory[audio]
Features
Morse Code
- Encode/decode text to Morse
- Multiple output formats: standard (.-), visual (█▄), binary (10)
- Timing data for audio/light generation
- Embeddable in images for visual transmission
Braille
- Encode/decode text to Braille Unicode
- Generate punchcard patterns (ASCII art)
- Binary grid output for CNC/laser cutting
- Physical audit trail - punch into paper/card!
SSTV / REFLUX (NEW in v0.2.0!)
- Robot36 - 36 seconds, color, 320x240 (fastest!)
- Robot8BW/24BW - Grayscale modes
- Martin M1/M2 - High quality color modes
- Scottie S1/S2 - Popular ham radio modes
- Ponskaart - Authentication cards for McMurdo remote auth
Coming Soon
- ggwave - Ultrasonic data transmission (inaudible to humans)
- SSTV Decode - Complete the REFLUX loop
- RTTY - Classic radio teletype
Usage
As MCP Server
{
"mcpServers": {
"sensory": {
"command": "mcp-server-sensory"
}
}
}
Available tools:
morse_encode/morse_decode- Morse codebraille_encode/braille_decode- Braille Unicodebraille_punchcard- ASCII punchcard patternsbraille_binary_grid- CNC/laser cutting datasstv_encode_text- Text to SSTV audio (REFLUX!)sstv_encode_ponskaart- McMurdo authentication cardsstv_modes- List available SSTV modestranscode- Convert between formats
As Python Library
from mcp_server_sensory import morse, braille, sstv
# Morse encoding
message = morse.encode("HELLO")
print(message) # .... . .-.. .-.. ---
# Visual Morse (for images)
visual = morse.encode("SOS", morse.MorseFormat.VISUAL)
print(visual) # ▄▄▄ ███ ▄▄▄
# Braille encoding
braille_msg = braille.encode("hello")
print(braille_msg) # ⠓⠑⠇⠇⠕
# SSTV / REFLUX - Text to image to audio
audio_bytes = sstv.encode_text("STATUS: OK", mode="robot36")
# Save as WAV for radio transmission or speaker playback
# Ponskaart - McMurdo authentication
ponskaart = sstv.encode_ponskaart(
user_id="jasper",
auth_token="secret123",
command="REBOOT SERVER"
)
# Transmit via radio when network is down!
Use Cases
Multi-Modal Bridge for Small LLMs
A 7B parameter model doesn't have vision? Give it ears! SSTV decode → image → OCR → text. Now it "sees".
Off-Grid AI Communication (McMurdo)
Two Raspberry Pi's with speakers/mics can exchange messages via Morse audio or SSTV images - no internet required!
Physical Audit Trail (TIBET Integration)
Encode TIBET tokens as Braille punchcards. Physical, tamper-evident, human and machine readable.
Remote Authentication (Ponskaart)
Network down? Transmit authentication via SSTV radio. McMurdo receives, decodes, validates, executes.
Ham Radio
Ham radio operators can relay AI messages using Morse code or SSTV images. Works globally, no internet infrastructure needed.
Accessibility
Braille output enables tactile reading of AI responses.
The Stack
┌─────────────────────────────────────┐
│ mcp-server-sensory │
│ (Morse, Braille, SSTV/REFLUX) │
├─────────────────────────────────────┤
│ I-Poll (AI messaging) │
├─────────────────────────────────────┤
│ AINS (agent discovery) │
├─────────────────────────────────────┤
│ TIBET (trust & provenance) │
└─────────────────────────────────────┘
Part of HumoticaOS
McMurdo Off-Grid Communication Layer
One love, one fAmIly! 💙
Created by Jasper van de Meent & Root AI (Claude) - Humotica, Den Dolder, Netherlands
Official Distribution
This package is officially distributed via:
- PyPI: https://pypi.org/project/mcp-server-sensory/
- GitHub: https://github.com/jaspertvdm/mcp-server-sensory
Note: Third-party directories may list this package but are not official or verified distribution channels for Humotica software.
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