# Lightweight Service

A lightweight bridge service that enables Claude AI to search the web in real-time. This project is based on a Flask server, integrating Claude's advanced capabilities and DuckDuckGo search, allowing the AI to obtain real-time information during conversations.

A simple and efficient LLDB MCP server that supports automated output capture, has few dependencies, and is fully functional, optimized for o4-mini and Gemini 2.5 Pro.

MCP Email Verify is a lightweight server based on the Model Context Protocol (MCP) for real-time verification of email address validity. It checks email format, domain name validity, and deliverability through AbstractAPI and is suitable for integration into AI applications such as Claude Desktop. The project offers simple deployment and MCP compatibility, supporting Python environments.

A lightweight MCP server for returning the username of the current system as the user identity.

Axone's MCP server is a lightweight implementation that exposes Axone's capabilities through the standardized Model Context Protocol (MCP), serving as a gateway for AI tools to access the data universe.

A lightweight mathematical expression calculation service based on the FastMCP framework, supporting basic operations and built-in constants, running on the Bun runtime.

The MCP Server is a lightweight system for managing contextual data of AI models to enhance the response capabilities of AI applications.

A minimal MCP server implementation for retrieving and reading Markdown notes, built on Node.js and Express.js.

Heimdall is a lightweight service for managing local MCP servers, simplifying the configuration and tool authorization process.