"World Health Organization" matching MCP servers:

Enables fast text classification using Model2Vec static embeddings with 10 default categories (technology, business, health, etc.), supports custom category management, batch processing, and provides both local and remote deployment options.

A Model Context Protocol server that provides tools for analyzing text documents, including counting words and characters. This server helps LLMs perform text analysis tasks by exposing simple document statistics functionality.

Connects Baidu Netdisk to MCP-compatible AI clients, enabling AI to safely read selected files and generate summaries, key points, to-dos, tags, and organization suggestions.

A multi-tool MCP server that summarizes YouTube transcripts, provides transcript statistics, offers health checks, and suggests git commit messages based on changes.

A comprehensive document analysis server that performs sentiment analysis, keyword extraction, readability scoring, and text statistics while providing document management capabilities including storage, search, and organization.