Tweet Search

Work in progress (for now)

MoodTrip is an AI-powered hotel search that understands natural language. Instead of clicking through dozens of filters, simply describe your ideal stay: "boutique hotel in Tokyo for 2 adults, December 10-15, under $200/night." MoodTrip interprets your request, searches real-time availability across thousands of properties, and returns hotels with: Live pricing and availability Hotel photos and ratings Direct booking links Smart constraint relaxation when results are limited Perfect for travelers who know what they want but hate the traditional search process.

MoodTrip is an AI-powered hotel search that understands natural language. Instead of clicking through dozens of filters, simply describe your ideal stay: "boutique hotel in Tokyo for 2 adults, December 10-15, under $200/night." MoodTrip interprets your request, searches real-time availability across thousands of properties, and returns hotels with: Live pricing and availability Hotel photos and ratings Direct booking links Smart constraint relaxation when results are limited Perfect for travelers who know what they want but hate the traditional search process.

Search Naver across news, blogs, books, encyclopedia, cafe posts, Knowledge iN, local places, images, shopping, and professional documents. Returns Korean-language results and Korea-local content that global search engines often miss.

MCP server for Google's Gemini File Search and RAG (Retrieval-Augmented Generation). ## Features - Create and manage File Search stores - Upload documents (text, PDF, base64) with custom metadata and chunking config - Import existing Gemini files into stores - Track upload/operation status - Query documents using RAG with model selection and metadata filtering ## 12 Tools **Store Management**: create, list, get, delete stores **Upload & Import**: upload content directly or import existing files **Operations**: check status of store/upload operations **Documents**: list, get, delete documents in stores **RAG Query**: query documents with Gemini models (supports metadata filters) ## Configuration - GEMINI_API_KEY — Get one at https://aistudio.google.com/apikey

MCP server for Google's Gemini File Search and RAG (Retrieval-Augmented Generation). ## Features - Create and manage File Search stores - Upload documents (text, PDF, base64) with custom metadata and chunking config - Import existing Gemini files into stores - Track upload/operation status - Query documents using RAG with model selection and metadata filtering ## 12 Tools **Store Management**: create, list, get, delete stores **Upload & Import**: upload content directly or import existing files **Operations**: check status of store/upload operations **Documents**: list, get, delete documents in stores **RAG Query**: query documents with Gemini models (supports metadata filters) ## Configuration - GEMINI_API_KEY — Get one at https://aistudio.google.com/apikey