my-server MCP Server

Overview

The my‑server MCP Server is a lightweight, TypeScript‑based implementation of the Model Context Protocol that turns a simple notes application into an AI‑friendly data source. It solves the common problem of bridging unstructured text collections with conversational assistants: developers can expose a personal or team‑level notes repository to Claude (or any MCP‑compatible client) without building custom APIs, authentication layers, or front‑end tooling. By packaging notes as MCP resources and providing tool endpoints for creation, the server gives AI assistants direct access to structured content while preserving a familiar CRUD interface.

At its core, the server exposes three principal MCP concepts. Resources are text notes addressed via URIs; each note carries a title, body, and metadata such as timestamps. The tool lets an assistant create new notes by supplying a title and content, which are stored in the server’s runtime state. Finally, the prompt aggregates all stored notes into a single structured prompt that an LLM can consume to produce concise summaries. This design demonstrates how MCP resources, tools, and prompts can be combined to create a rich, AI‑driven workflow around simple data.

Developers benefit from the server’s explicit separation of concerns. Resources are immutable once created, ensuring a clear audit trail and easy reference by URI. Tools act as controlled mutation points, allowing the assistant to add or modify notes while keeping business logic encapsulated on the server side. Prompts provide a ready‑made bridge to LLMs, converting raw data into a format that the model can ingest efficiently. Together, these features enable rapid prototyping of note‑taking assistants, collaborative knowledge bases, or any scenario where structured text must be queried, updated, and summarized by an AI.

Real‑world use cases include: a team’s shared research notes that can be queried by an assistant during meetings; a personal journal where the AI suggests daily summaries; or an educational setting where students submit notes and receive automated outlines. Because the server uses plain text MIME types, it integrates smoothly with existing MCP clients that expect simple content streams. The prompt mechanism also makes it trivial to extend the server with additional summarization or transformation tools, keeping the system modular.

What sets this MCP server apart is its minimalistic yet complete implementation of core MCP patterns. It serves as a concrete example for developers learning the protocol, showing how to expose domain data via URIs, control modifications through typed tools, and generate LLM prompts on demand. The server’s TypeScript foundation ensures type safety across the API, while its straightforward runtime state management allows developers to focus on business logic rather than plumbing. Whether you’re building a prototype or a production assistant, this MCP server provides a solid foundation for AI‑enabled note management.