MCP Notes Server

The MCP Notes server provides a lightweight, yet fully featured, note‑management backend that can be plugged into any AI assistant supporting the Model Context Protocol. It solves a common pain point for developers and end‑users alike: keeping track of ideas, meeting minutes, or research snippets in a structured way while still allowing an LLM to read, write, and manipulate those notes on demand. By exposing CRUD operations as MCP tools and using a simple JSON file for persistence, the server offers an out‑of‑the‑box solution that requires no database setup or complex infrastructure.

At its core, the server implements four primary tools—, , , and . These tools translate natural language commands into concrete file‑system operations, allowing an assistant to create a new note with a single prompt or retrieve all stored entries for summarization. The JSON storage format preserves timestamps for creation and last modification, giving developers audit trails without extra effort. Moreover, the URI scheme turns each note into a first‑class resource that can be referenced directly from prompts or other MCP services, enabling seamless chaining of operations across multiple servers.

One of the standout features is the built‑in summarization prompt. The server can generate concise or detailed summaries of any note, automatically formatting the content for optimal LLM comprehension. This is especially useful in knowledge‑base workflows where an assistant must distill large volumes of text into actionable insights or quick reference points. Because the summarization logic lives on the server, developers can customize the prompt templates without touching client code, keeping model behavior consistent across environments.

In real‑world scenarios, the MCP Notes server is ideal for meeting transcription pipelines, research annotation tools, or personal knowledge management systems. An assistant can fetch a note via , feed it into a language model for analysis, and then update the original entry with new insights—all within a single conversational turn. The resource‑based access also makes it straightforward to expose notes to other MCP services, such as calendar or task managers, enabling richer integrations like auto‑creating reminders from note content.

Overall, the MCP Notes server delivers a pragmatic blend of persistence, resource abstraction, and LLM‑friendly tooling. Its minimal footprint and clear API make it a valuable addition to any developer’s AI toolkit, allowing quick deployment of note‑centric features while keeping the underlying logic transparent and easily extensible.