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Bridge Across Decades

Connect 1980s computers (MSX, CP/M, C64, Apple II) to Claude AI via WiFi. ESP32 MCP bridge brings modern intelligence to vintage machines.

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Project Name: Bridge Across Decades "Give AI a manual, and any RS-232C device becomes an AI system." 【Elevating Engineering Knowledge】 The technical knowledge embedded in vintage machines is humanity's treasure. When AI learns from those manuals, your expertise becomes a global asset—not locked in one person's mind, but alive in the world. Humans learning machine language: months to years AI learning machine language: minutes From Apple II (1977) to MSX (1983)—40-year-old engineering gains new life through AI. Your legacy becomes tomorrow's innovation. MIT licensed. Free binary distribution. Preserving technical heritage. Amplifying engineering wisdom.

【Development Update】

AiBridgeMCP v1.8.8a Release Preparation

■ UI & Display Unification
  • Added "Ai-" prefix to MCP tool responses
    - get_system_info: "Ai-Observatory"
    - get_network_status: "Ai-Observatory"
  • Unified all "Location" references to "Station"
    - Web UI Control Panel
    - File Manager labels
    - Serial output (INFO/VER)
  • Refreshed system subtitle
    - Old: "Serial AI Bridge"
    - New: "Bridge Across Decades"

■ License & Information Formalization
  • Finalized LICENSE command output (compact format)
    - "License: MIT (See Manual)" style
  • Updated get_license_info tool with formal MIT notice
    - Official MIT License text
    - "Bridge Across Decades via SSE" description
    - Comprehensive disclaimer (AS IS, hardware damage, data loss)

■ Code & Documentation Management
  • Updated code revision history to v1.8.8a
  • Refreshed handover documentation (handover_20260221.md)
  • Promoted main file to AiBridgeMCP_v1_8_8.ino
    (future development continues with this version)

■ Project Policy Confirmed
  • License: MIT License
  • Distribution: Free edition (binary only)
  • Future: Open source planned
  • Message: Transform engineering knowledge from personal expertise
    into a shared global asset

【Next Milestones】
  • WiFi-direct features (TIME, WGET, etc.)
  • Confirm location field unification
  • Complete English documentation
  • Prepare GitHub release

AiBridgeMCP – First-Time Setup Guide.pdf

Adobe Portable Document Format - 77.21 kB - 02/23/2026 at 13:57

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AiBridgeMCP Quick Start Guide.pdf

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Claude Chat Instructions English Translation.pdf

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AiBridgeMCP_ v1_8_8 circuit diagram.png

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AiBridgeMCP_ AI Serial Bridge Guide.pdf

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  • AiBridgeMCP Nano: Bringing Modern AI to 80s Micros and Legacy Gear

    Nishioka Sadahiko02/23/2026 at 13:54 0 comments

      I’m excited to announce the release of AiBridgeMCP Nano (Free Edition)!

      You can find the repository and documentation here:

      https://github.com/OnStepNinja/AiBridgeMCP

    • I’ve been working hard to get this out the door, so there may still be some bugs or rough edges. I would deeply appreciate any feedback or bug reports from the community to help improve the project.

      AiBridgeMCP Nano implements two primary features:

      1. Retro-Micro AI Chat (Serial Bridge)

      This allows 1980s legacy computers—like CP/M machines, Apple II, and MSX—to "chat" directly with modern Large Language Models (LLMs). If you grew up with these 8-bit legends, there's something surreal and rewarding about seeing a Z80-based system discussing code or philosophy with a state-of-the-art AI.

      2. "Instant AI" Systems for Legacy Equipment

      Instead of writing complex custom code for every piece of hardware, you can now turn aging equipment into an "Instant AI System." By simply providing the AI with the device's manual/documentation, the LLM can understand and control the hardware.

      I believe this has massive potential; there is an incredible amount of perfectly functional legacy equipment in the world that can be "upgraded" with AI reasoning without a total overhaul.

      I’m looking forward to seeing what the Hackaday community thinks. Whether you're a retro-computing enthusiast or looking for new ways to implement AI in hardware control, please give it a try!

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