"A tool for uploading and analyzing documents, extracting text from PDFs, and conducting research" matching MCP servers:

Algorithmic text and NLP analysis server providing sentiment, readability, keyword extraction, language detection, stats, and more via REST and MCP.

A Model Context Protocol server that allows AI assistants to discover, load, and process local documents on Windows systems, with support for multiple file formats and OCR capabilities for scanned PDFs.

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.

Enables exploring Steam store reviews and community discussion threads with server-side filtering, temporal analysis, and metadata context for understanding player sentiment and feedback beyond store page noise.

A universal MCP tool gateway that manages multiple remote tool processes, enabling LLMs to dynamically invoke web scraping, summarization, and knowledge retrieval through standardized Function Calling.

An offline MCP server that enables research tasks such as summarizing text, extracting key points, and saving/retrieving notes via a CLI client and stdio transport.

Provides real-time web research and URL summarization capabilities using Gemini 2.5 Flash with native Google Search grounding. It enables users to perform factual searches and summarize web content directly within MCP-compatible clients like Claude Desktop.

Provides comprehensive text analysis capabilities including character counting, word statistics, character type analysis, and text length validation for Korean and English text. Supports AI agents in analyzing and validating text content with detailed statistics and Unicode support.

Aggregates and summarizes security research from IEEE, NIST, CISA, and blogs with a live-streaming web UI.

An MCP server that adds real-time web research to Claude Desktop using Gemini 2.5 Flash with native Google Search grounding.

An MCP server that provides tools, resources, and prompts for reading, writing, and summarizing research notes stored in a local flat-file database.

Enables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.

Enables fetching, searching, and summarizing YouTube video transcripts with multi-language support.

Counts characters and words in both Japanese and English text files, with special handling for Japanese morphological analysis and proper character counting excluding spaces and line breaks.

Enables generating deterministic, cited research findings from caller-supplied source metadata and excerpts via a local-fixture MCP tool, supporting English and Spanish.

Enables LLMs to search, analyze, and summarize academic research papers in real-time from arXiv, Semantic Scholar, and PubMed. Provides automatic deduplication, citation analysis, and BibTeX generation across multiple research databases.

A local, rule-based MCP server for searching and analyzing academic papers from arXiv. Enables paper search, ranking, smart summarization, keyword extraction, and citation generation without API keys or LLM calls.

Manages company document metadata and URLs in a local SQLite database, with automatic summarization via Mistral OCR and Chat Completions API.

Fetches category data from a Q&A service API and returns a markdown summary grouped by category.

Enables AI clients to search YouTube, fetch video transcripts, and generate transcript-grounded research briefs using MCP tools.