MCP Server on Raspi

Overview

The mcp-server-on-raspi MCP server turns a Raspberry Pi into a lightweight, network‑connected AI helper that can store, retrieve, and summarize notes on demand. By exposing a small set of resources, prompts, and tools over the Model Context Protocol, it allows AI assistants such as Claude to interact with persistent data without needing external databases or cloud services. This is especially useful for developers building local, privacy‑preserving AI workflows where the assistant can keep a running knowledge base directly on the device.

At its core, the server implements a note storage system. Each note is addressed with a custom URI scheme, giving the assistant a simple way to refer to individual entries. Notes carry metadata (name and description) and are stored as plain text, making them easy to read, edit, or export. The server’s resource API automatically notifies connected clients whenever a note is added or modified, ensuring that the assistant’s context stays in sync with the underlying data.

The server also offers a single, powerful prompt: . When invoked, the assistant receives a combined prompt that includes all current notes and an optional argument ( or ). This lets the assistant generate concise summaries or in‑depth overviews on demand, turning a collection of raw notes into actionable insights. The prompt is designed to be stateless; each invocation pulls the latest note content, so updates are immediately reflected in subsequent summaries.

A dedicated tool——provides an interactive way for the assistant to expand the note base. By supplying a and , the tool adds a new entry, updates server state, and triggers resource change notifications. This tight integration means that the assistant can both read from and write to the note store without leaving its conversational context, enabling workflows such as “add a new meeting recap” or “create a quick task list” directly from chat.

For developers, the server’s simplicity translates into several practical advantages. It requires no external database or cloud infrastructure, making it ideal for edge deployments where latency and data sovereignty matter. The custom URI scheme and plain‑text format mean that notes can be easily exported or processed by other tools. Integration with MCP clients is straightforward: the server’s resources, prompts, and tool are automatically discoverable by any compliant assistant, allowing developers to focus on higher‑level application logic rather than plumbing.

In real‑world scenarios, this MCP server shines for use cases such as personal knowledge management on a home server, collaborative note‑taking in small teams that prefer local storage, or as a lightweight backend for prototype AI assistants that need to persist user data across sessions. By encapsulating note storage, summarization, and creation in a single MCP service, it offers developers a clear, well‑defined interface to enhance AI interactions with persistent, structured content.