GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
MCP server for Thomson MO5 C development, 6809, CMOC, SDK, toolchain.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
RAG_BASE_URLYou need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"mo5": {
"command": "npx",
"args": [
"-y",
"@thlg057/mo5-rag-mcp"
],
"env": {
"RAG_BASE_URL": "your-value"
}
}
}
}Run this in your terminal
claude mcp add mo5 --env RAG_BASE_URL=your-value -- npx -y @thlg057/mo5-rag-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"mo5": {
"command": "npx",
"args": [
"-y",
"@thlg057/mo5-rag-mcp"
],
"env": {
"RAG_BASE_URL": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"mo5": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@thlg057/mo5-rag-mcp"
],
"env": {
"RAG_BASE_URL": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account thlg057, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: RAG_BASE_URL
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.0.2) reached the registry 7 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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
echo {"jsonrpc":"2.0","method":"tools/list","id":1} | node index.js
index.js: Main source code of the MCP server.scripts/: Python scripts for build tools (makefd.py, fd2sd.py, png2mo5.py).package.json: Dependencies (MCP SDK)..gitignore: Ignores node_modules and environment files.This server is part of a suite of tools designed to modernize development on the Thomson MO5:
This project is part of the digital preservation ecosystem for the Thomson MO5 microcomputer.