QueryWeaver is an open - source Text2SQL tool that converts natural language questions into SQL queries through graph - driven schema understanding, supporting REST API and MCP protocol.

MCP-Memos is a memo tool based on the MCP protocol, designed specifically for developers. It supports quick recording and retrieval of text information without switching applications. It uses large language models to provide powerful fuzzy search capabilities, including semantic understanding, context awareness, and natural language query functions.

A code search MCP server based on semantic understanding, using local embedding models and vector databases to achieve intelligent code retrieval, replacing traditional text search tools

This is a Quran search engine server based on the MCP protocol, aiming to provide accurate and hallucination-free Quranic verse query services for AI assistants. It uses a dedicated search engine to handle Arabic normalization, root, and lemma matching, ensuring the absolute accuracy of the returned verse texts, while the AI is only responsible for understanding the user's natural language query intentions.