Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"picocalc": {
"command": "picocalc-mcp"
}
}
}Are you the author?
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A MicroPython firmware and script collection for the Clockwork Pi PicoCalc handheld device, powered by the Raspberry Pi Pico 2W. Features:
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'picocalc-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
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A MicroPython firmware and script collection for the Clockwork Pi PicoCalc handheld device, powered by the Raspberry Pi Pico 2W. Features:
MicroPython/firmware/picocalc_micropython_pico2w.uf2 to that drive.The easiest way -- a local web UI that handles everything:
python3 MicroPython/tools/dashboard.py
This opens a browser dashboard where you can:
.py files to uploadFirst run will prompt to install
mpremoteif needed. Requires Python 3.7+.Adding new files: Scripts in
modules/andsd/py_scripts/are auto-discovered by the dashboard. Root-level files (likeboot.py) must be added toFILE_MAPindashboard.pyto appear.
Let your AI coding assistant talk directly to the PicoCalc -- write code, push it, test on device, iterate, all from the AI conversation.
MCP Server (Recommended)
MCP gives AI tools native access to the device with no dashboard running. Install from PyPI:
pip install picocalc-mcp
Then add to your .mcp.json or Claude Desktop config:
{
"mcpServers": {
"picocalc": {
"command": "picocalc-mcp"
}
}
}
Or run directly from the repo: "args": ["/path/to/PicoCalc/mcp/mcp_server.py"]
Works with Claude Code, Claude Desktop, Cursor, and any MCP-compatible tool. Full setup guide: MCP_README.md
See it in action: MCP & Dashboard Demo
Claude Code Skills (Optional)
For Claude Code users, the code-skills repo provides PicoCalc-specific skills that teach the AI how to write correct apps, use the hardware APIs, review code, and handle device operations. The MCP server gives the AI hands to interact with the device; the skills give it the knowledge to build for it.
# With skill-deployer installed, just paste a URL:
"install this skill https://github.com/LofiFren/code-skills/tree/main/skills/picocalc-app"
Dashboard REST API (Legacy)
If you already have the dashboard running, AI tools can also use its HTTP endpoints:
curl -s http://localhost:8265/api/device # Device
... [View full README on GitHub](https://github.com/LofiFren/PicoCalc#readme)