# Natural language processing

This project demonstrates how to integrate Google Gemini API with custom tools managed by the MCP framework, process natural language queries, and use MCP tools to perform specific operations.

This project builds a natural - language - based WhatsApp message sending and scheduling system through a client - server architecture. The server uses Mistral's LLM to parse user intentions and calls Twilio's API to send WhatsApp messages.

The SingleStore MCP Server is a service based on the Model Context Protocol (MCP) for managing context between large language models (LLMs) and external systems. It supports interacting with SingleStore through natural language and simplifies complex operations.

An MCP server based on two - stage SQL generation, which converts natural language to SQL, reduces the hallucination risk and enhances the trust of non - technical users.

FOCUS DATA MCP Server is an AI assistant service that converts natural language into SQL statements. It uses a two-step generation scheme to control LLM hallucinations and increase the trust of non-technical users in SQL results.

SCMCP is an MCP server for single-cell RNA sequencing analysis through natural language processing

This project is a list of MCP servers implemented in Go, including multiple services for natural language processing and database interaction, such as text-to-SQL and knowledge base retrieval. It supports multiple platforms, is open-source, and free of charge.

This project aims to enhance the management experience of Pi-hole devices through FastAPI and the RAG system, providing interaction functions based on natural language processing.