Non‑Dirty MCP Client & Server

The Non‑Dirty MCP Client & Server is a lightweight Model Context Protocol implementation designed to give AI assistants a simple, yet powerful way to manage and summarize notes. By exposing a minimal set of resources, prompts, and tools, it turns any Claude or similar AI into a collaborative note‑taking assistant that can persist user data across sessions and deliver on‑demand summaries.

What Problem Does It Solve?

Modern AI workflows often require a persistent state that can be queried, updated, and shared across multiple clients. Existing solutions typically involve complex database setups or custom APIs that add unnecessary overhead for small projects. This MCP server eliminates those hurdles by providing an out‑of‑the‑box note store that follows the same communication patterns as any other MCP service. Developers can therefore focus on building higher‑level features—such as task lists, knowledge bases, or meeting minutes—without wrestling with storage mechanics.

Core Functionality and Value

The server exposes a note resource via a custom URI scheme. Each note is lightweight: it has a name, description, and plain‑text content. This structure allows the AI to reference notes directly by URI, making it trivial to embed them in prompts or tool calls. The add‑note tool lets the assistant create new entries on demand, automatically notifying connected clients so that their view stays in sync. The summarize‑notes prompt aggregates all stored notes and produces a concise or detailed summary, depending on the optional style argument. By bundling these capabilities together, developers can create conversational agents that not only remember past interactions but also provide actionable summaries on request.

Key Features Explained

• Custom URI scheme () – Enables direct, addressable access to individual notes within prompts and tool calls.
• Real‑time resource updates – Adding a note triggers notifications to all listening clients, ensuring consistency across devices.
• Summarization prompt – Generates a single prompt that compiles all notes, with optional verbosity control.
• Simple API surface – Only one tool and one prompt keep the interface uncluttered, reducing learning curve.
• Extensible foundation – While minimal now, the server’s architecture allows easy addition of new resources or tools without changing client code.

Real‑World Use Cases

• Personal Knowledge Management – Users can jot down ideas or research snippets; the assistant later pulls a quick summary for review.
• Team Collaboration – Multiple team members add notes via chat, and the bot can produce a meeting recap or action‑item list.
• Customer Support – Agents capture support tickets as notes; the bot can then summarize common issues for training purposes.
• Learning & Study Aids – Students input lecture notes; the assistant can generate concise study guides or flashcards.

Integration with AI Workflows

Because it follows the MCP spec, any client that understands the protocol—Claude Desktop, Claude Web, or custom agents—can immediately start interacting with the server. Developers can wire the add‑note tool into a conversational flow, letting users add entries by voice or text. The summarize‑notes prompt can be invoked when a user asks for an overview, and the server will automatically stitch together all current notes into a coherent summary. This seamless integration eliminates the need for custom middleware, enabling rapid prototyping and deployment of AI‑powered knowledge bases.

Unique Advantages

• Zero‑configuration persistence – No database setup; notes are stored in simple files or in-memory structures, making the server ideal for quick demos.
• Built‑in notification system – Keeps all clients in sync without polling or websockets, leveraging the MCP’s native update channel.
• Extensibility with minimal friction – Adding new resources or prompts can be done in a few lines, preserving the lightweight ethos.
• Developer‑friendly debugging – The MCP Inspector integration provides a visual interface for inspecting tool calls, prompts, and resource changes in real time.

In summary, the Non‑Dirty MCP Client & Server offers developers a streamlined path to create AI assistants that can capture, store, and summarize information on the fly. Its simple API, real‑time updates, and native MCP compatibility make it an attractive choice for anyone looking to add persistent note‑taking capabilities to their conversational AI projects.