ecommerce-ai-server
by jenish-25
This is a TypeScript-based MCP server that implements a simple notes system. It demonstrates core MCP concepts by providing resources, tools, and prompts for managing and summarizing notes.
Last updated: N/A
What is ecommerce-ai-server?
The ecommerce-ai-server is a Model Context Protocol (MCP) server designed to manage and interact with text notes. It provides resources for storing notes, tools for creating them, and prompts for generating summaries using LLMs.
How to use ecommerce-ai-server?
To use this server, install the dependencies with npm install, build it with npm run build, and then configure Claude Desktop to use the server by adding the provided JSON configuration to the claude_desktop_config.json file. The server can be debugged using the MCP Inspector via npm run inspector.
Key features of ecommerce-ai-server
Resources: List and access notes via
note://URIsResources: Each note has a title, content, and metadata
Tools:
create_note- Create new text notes with title and content parametersPrompts:
summarize_notes- Generate a summary of all stored notes using LLMs
Use cases of ecommerce-ai-server
Note-taking application integration with LLM summarization
Contextual information retrieval for AI models
Automated content summarization within a larger system
Experimenting with Model Context Protocol implementations
FAQ from ecommerce-ai-server
What is an MCP server?
What is an MCP server?
An MCP server is a Model Context Protocol server, designed to provide context and data to AI models.
How do I install the server?
How do I install the server?
Install dependencies using npm install, build with npm run build, and configure Claude Desktop with the provided JSON.
How do I debug the server?
How do I debug the server?
Use the MCP Inspector by running npm run inspector.
What are the required parameters for creating a note?
What are the required parameters for creating a note?
The create_note tool requires a title and content for the note.
What does the summarize_notes prompt do?
What does the summarize_notes prompt do?
The summarize_notes prompt generates a summary of all stored notes using an LLM.