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An MCP integration tool for user data management, supporting both TypeScript and ES modules.
Install & Use
Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:
Help me install this AI Skill: a. It is used for: An MCP integration tool for user data management, supporting both TypeScript and ES modules. Details: https://321skill.com/en/skills/a-simple-mcp-server/
This Skill addresses the challenge of efficiently managing user data within AI development environments. In practice, developers often need to equip AI assistants with capabilities for querying, adding, updating, and deleting user information, but the lack of standardized data management interfaces forces them to repeatedly write backend logic from scratch.
Usage is straightforward: simply install this MCP server via npm and configure its endpoint in your AI tool (e.g., Claude). You can then operate on user data using natural language instructions, such as "Query information for user ID 123" or "Add a new user named Zhang San with email zhang@example.com." The AI will automatically invoke the MCP tool to execute these operations.
It is particularly well-suited for backend, full-stack, and agent developers who need to quickly integrate user data management functionality. This is especially true for teams or individuals already using AI tools like Claude that support the MCP protocol and wish to grant their AI assistants persistent data operation capabilities.
We recommend using this tool uniformly for managing user data when developing AI applications to avoid reinventing the wheel. Note that it primarily provides basic CRUD operations; complex business logic (such as permission validation or data relationships) must still be implemented at the application layer.
Key Features
Unlike typical MCP servers, it comes with built-in compilation and development tooling for TypeScript and ES modules. Developers can use it immediately without additional build environment configuration, and it supports type-safe user data operations.
Limitations
Requires a Node.js 18+ environment and depends on the MCP protocol standard. Currently, it only supports local or LAN deployment and does not support distributed clusters.
FAQ
How do I install this MCP server?
Run `npm install simple-mcp-server` to install it, then configure the MCP endpoint address in your AI tool.
Which databases are supported?
It uses in-memory storage by default but can be extended via plugins to support databases like SQLite and PostgreSQL.