Document Analyzer
Analyzes text documents for sentiment, keywords, and readability, while offering robust document management and semantic search capabilities.
This tool is a comprehensive document analysis server built with the FastMCP framework, designed to provide deep insights into text content. It offers advanced document analysis functionalities including dual-engine sentiment analysis (VADER + TextBlob), TF-IDF and frequency-based keyword extraction, and multiple readability scoring metrics (Flesch, Flesch-Kincaid, ARI). Beyond analysis, it provides powerful document management features such as JSON-based persistent storage, smart semantic search, and a tag system for organization. Leverages FastMCP for a simple setup, type safety with Pydantic, and multi-transport support (STDIO, HTTP, SSE), making it ideal for integrating document intelligence into various applications.
