Notes MCP Server is a TypeScript-based Model Context Protocol (MCP) server that implements a simple notes system. It demonstrates core MCP concepts by providing resources representing text notes with URIs and metadata, tools for creating new notes, and prompts for generating summaries of notes.
The Notes MCP Server serves as an educational tool to demonstrate the core concepts of MCP through a practical implementation of a notes system. It allows users to manage text notes via URIs, create new notes, and generate summaries using structured prompts for LLM summarization.
Developers interested in understanding or implementing MCP servers, TypeScript developers, and those exploring integrations with systems like Claude Desktop can benefit from this project.
Notes MCP Server can be installed and run locally on your machine. For integration with Claude Desktop, configuration files need to be updated either in MacOS at '~/Library/Application Support/Claude/claude_desktop_config.json' or on Windows at '%APPDATA%/Claude/claude_desktop_config.json'.
You should use Notes MCP Server when you want to explore the functionalities of Model Context Protocol, test server implementations, or integrate it into development environments like Claude Desktop for handling notes management tasks.
To install dependencies for Notes MCP Server, run the command 'npm install'.
To build the server, run 'npm run build'. For development with auto-rebuild, use 'npm run watch'.
It provides resources for listing and accessing notes via 'note://' URIs, tools for creating new notes ('create_note'), and prompts for summarizing all stored notes ('summarize_notes').
Debugging can be done using the MCP Inspector by running 'npm run inspector', which provides a URL to access debugging tools in your browser.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
Yes, MCP is an open-source protocol that encourages community participation and collaboration. For more details or to contribute, visit the official MCP documentation.
On mcpserver.shop, each MCP Server’s detailed page includes the provider’s contact information or a link. You can directly reach out to the provider for more details or technical support.