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Multi-Sensory AI Communication - Morse, Braille, SSTV/REFLUX encode+decode for off-grid AI networks. Complete sensory loop!

Project description

MCP Server Sensory

Multi-Sensory AI Communication for Off-Grid Networks

"Een 7B model krijgt opeens ogen" - Multi-modal bridge for small LLMs

Part of the HumoticaOS McMurdo Off-Grid Communication Layer.

PyPI version

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:

  1. Encode text into an image
  2. Encode image to SSTV audio (Robot36, Martin, Scottie)
  3. Transmit via radio/speaker
  4. Receive and decode SSTV audio to image
  5. OCR the image back to text
  6. 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 code
  • braille_encode / braille_decode - Braille Unicode
  • braille_punchcard - ASCII punchcard patterns
  • braille_binary_grid - CNC/laser cutting data
  • sstv_encode_text - Text to SSTV audio (REFLUX!)
  • sstv_encode_ponskaart - McMurdo authentication card
  • sstv_modes - List available SSTV modes
  • transcode - 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

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