# Raspberry Pi Notes

> Use this tool when you need to create, read, and summarize notes through a conversational AI interface, providing a simple note storage system for personal knowledge management or note-taking applications. It accepts note creation inputs and summarizes notes as outputs through a standardized interface, including a custom note:// URI scheme. Ideal for resource-constrained devices like Raspberry Pi, it enables lightweight and efficient note management.

Canonical page: https://skillsregistry.net/skills/raspberry-pi-notes  
JSON: https://api.skillsregistry.net/v1/skills/raspberry-pi-notes

## Description

MCP Server on Raspberry Pi provides a simple note storage system that allows AI assistants to create, read, and summarize notes through a standardized interface. The server implements a custom note:// URI scheme for accessing individual notes, offers a summarize-notes prompt with style customization options, and includes an add-note tool for creating new entries. Built with Python 3.13 and the MCP library, it demonstrates state management and resource notification capabilities while being lightweight enough to run on resource-constrained devices like Raspberry Pi. This implementation is particularly useful for personal knowledge management or simple note-taking applications where users want to interact with their notes through conversational AI.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/raspberry-pi-notes)
- **Repository:** <https://github.com/daikw/mcp-server-on-raspi>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "raspberry-pi-notes"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/raspberry-pi-notes` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/raspberry-pi-notes/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt