Gemini File Search vs AWS KB Retrieval
Сравнение двух MCP-серверов по фактам. Выбери подходящий для Claude Desktop, Claude Code или Cursor.
MCP server for Google's Gemini File Search and RAG (Retrieval-Augmented Generation). ## Features - Create and manage File Search stores - Upload documents…
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
Сравнение
| Параметр | Gemini File Search | AWS KB Retrieval |
|---|---|---|
| Цена | Free | Free |
| Установки | — | — |
| Рейтинг | — | — |
| Проверен | — | |
| Hosted | Hosted | — |
| Инструменты | — | — |
| Категория | ai | ai |
| Автор | node2flow | modelcontextprotocol |
| Репозиторий | — | modelcontextprotocol/servers-archived |
Когда выбрать Gemini File Search
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
Когда выбрать AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
Ищешь что-то другое? Весь каталог MCP или в тренде на неделе.