"Kotlin RAG (Retrieval-Augmented Generation) implementation resources" matching MCP servers:

A Model Context Protocol server that exposes Retrieval-Augmented Generation capabilities and a weather tool, allowing clients to interact with document knowledge bases and retrieve weather information.

Enables users to plan Singapore itineraries by combining a retrieval-augmented knowledge base with live weather forecasts and currency conversion through MCP tools.

Enables notes management, weather and news search, document ingestion and RAG-based semantic search using GroundX, with OpenAI GPT integration for summarization and completions.

Enables users to get real-time weather data and contextual natural-language insights for any city by combining OpenWeather API with a RAG pipeline and Groq LLM, and can be used via MCP clients like GitHub Copilot.

Enables users to query weather, perform web research, and manage a graph database through natural language.

An MCP server for US electricity demand and weather data that provides tools, resources, and prompts to query hourly demand, daily demand, peak demand, and demand vs temperature across regions, all running locally with a bundled SQLite database.

Enables interactive access to JAXA's satellite observation data (precipitation, land surface temperature, NDVI, elevation, soil moisture) via Claude, providing tools for point time series, dataset information, and area image generation.

MCP server for full control of Rachio sprinkler controllers via the reverse-engineered internal gRPC API, enabling schedule management, manual zone runs, rain delays, and weather data retrieval.

A production-grade MCP server that provides real-time weather data and demonstrates the complete MCP protocol surface including tools, resources, prompts, and structured output.

Provides Canadian tide predictions from the IWLS API, enabling retrieval of 7-day tide forecasts and station listings for monitoring stations across Canada.

Provides AI clients with real-time tools for math evaluation, timezone-aware time lookup, live weather retrieval, and persistent note management, all accessible over the Model Context Protocol via stdio.

A simple MCP server demonstrating tools, resources, and prompts for weather data, built during an Agentic AI Internship.

This MCP server enables AI assistants to perform calculations, fetch live weather, manage in-memory notes, access system info and note resources, and use reusable code review and summarization prompts.

Enables AI assistants to retrieve Italian Alpine and Apennine hiking data, including numbered trails, refuges, avalanche bulletins, and mountain weather forecasts, through MCP tools, resources, and prompts.

Enables AI agents to plan weather-aware trips across Thailand by providing real-time sky conditions, area search, and weather-fit itinerary generation for 150+ locations through Arnfa's API.

Enables retrieval of US weather data from the National Weather Service API, including active alerts for a state and five-period forecasts for a latitude/longitude.

Provides real-time European and GB electricity grid data via MCP, including generation, prices, carbon intensity, and grid infrastructure.

A FastMCP server providing real-time weather, news retrieval, and local note management tools for autonomous CrewAI agents. It enables context-aware multi-agent workflows with observability and high-speed inference integration.

A Model Context Protocol server implementation that provides tools for querying flight information, weather data, and flight comfort metrics through Variflight services.

Provides travel planning tools for Cox's Bazar, Bangladesh, including weather forecasts, AI-powered itinerary generation, and pre-configured travel planning prompts.