MCP server for Thomson MO5 C development, 6809, CMOC, SDK, toolchain.
{
"mcpServers": {
"io-github-thlg057-mo5-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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MCP server for Thomson MO5 C development, 6809, CMOC, SDK, toolchain.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Commit history unknown.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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This MCP server (Model Context Protocol) acts as a bridge between modern AI agents (Claude Desktop, Augment, Cursor) and the Thomson MO5 ecosystem.
It allows access to an expert knowledge base and manipulation of MO5 heritage files.
It provides semantic search tools, documentation resources, and expert prompts to facilitate development around the Thomson MO5 microcomputer.
This server is part of a complete toolchain for modern 6809 development:
The server relies on a Retrieval-Augmented Generation architecture to provide accurate answers based on real technical documentation.
.fd disk images, convert .fd to .sd for SDDrive, and convert PNG assets to C sprite headers.The MO5 RAG server is now publicly deployed and accessible on the Internet.
👉 https://retrocomputing-ai.cloud/
This MCP server is designed to work out of the box with the public RAG instance.
For most users, this means:
Simply configure the MCP server to point to the public URL and start using it from your coding agent.
Self-hosting a RAG server is still possible if you want to:
But it is no longer required for normal usage.
pip install Pillow) — required only for the png_to_mo5_sprite tool.The official public MO5 RAG server is available at: https://retrocomputing-ai.cloud/
You can use this public instance directly, there is no need to host your own RAG server.
Configure your agent to run the server directly from npm. No git clone or npm install needed.
{
"mcpServers": {
"mo5-server": {
"command": "npx",
"args": [
"-y",
"@thlg057/mo5-rag-mcp"
],
"env": {
"RAG_BASE_URL": "https://retrocomputing-ai.cloud"
}
}
}
}
git clone https://github.com/thlg057/mo5-mcp-server.git
cd mo5-mcp-server
npm install
Then configure your agent:
{
"mcpServers": {
"mo5-rag": {
"command": "node",
"args": ["C:\\your\\path\\to\\mo5-mcp-server\\index.js"],
"env": {
"RAG_BASE_URL": "https://retrocomputing-ai.cloud"
}
}
}
}
Note for Windows: Use double backslashes
\\or single slashes/in the path to avoid JSON formatting errors.
Add one of the configurations above to your MCP configuration file (e.g., augment_config.json or claude_desktop_config.json).
It is recommended to test the server before integration to ensure proper communication with the RAG API.
# Windows (PowerShell)
$env:RAG_BASE_URL="https://retrocomputing-ai.cloud"; npx @modelcontextprotocol/inspector node index.js