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maintenanceAn MCP server that provides a tool to extract text content from local PDF files, supporting both standard PDF reading and OCR capabilities with optional page selection.
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"Information about extraction techniques or processes" matching MCP servers:
- AlicenseAqualityAmaintenanceA small MCP server that gives agents rich context about a YouTube video — its transcript, jump-to-the-moment deep links, metadata, and most-replayed moments — so they can answer questions, summarize, pull quotes, or surface highlights.Last updated71MIT
- AlicenseAqualityDmaintenanceA FastMCP server that enables AI assistants to extract structured information from unstructured text using Google's langextract library through a secure, optimized Model Context Protocol interface.Last updated430MIT
- AlicenseAqualityBmaintenanceEnables analysis of clinical trial protocols using MCP tools for document listing, entity extraction, adverse event clustering, and summarization.Last updated41MIT
- AlicenseAqualityDmaintenanceFetches, parses, and summarizes ETSI telecommunications and media standards documents, enabling Claude to autonomously look up and ingest standards mid-conversation for answering questions, generating conformant code, or writing XML.Last updated6MIT
- AlicenseAqualityAmaintenanceEnables transcription, summarization, and action item extraction from audio files on your Mac using MacWhisper and Claude Desktop, all locally without any cloud APIs.Last updated72MIT
- AlicenseAqualityDmaintenanceGenerates natural, fluent Chinese content that reads like human writing using the Qwen3-Next-80B-A3B model. Supports web search for latest information and direct file saving with customizable writing rules.Last updated144MIT
- AlicenseAqualityAmaintenanceGive your AI agent PDF summarization, code review, translation, web extraction, document comparison, and persistent memory — all paid autonomously via Bitcoin Lightning.Last updated20MIT
- AlicenseAqualityAmaintenanceUnofficial MCP server wrapping crawl4ai that enables extraction and analysis of content from web pages, PDFs, Office documents, YouTube videos, and more, with AI-powered summarization and Google search integration to reduce token usage while preserving key information.Last updated1948MIT
- FlicenseAqualityDmaintenanceEnables fetching and analyzing YouTube video comments and replies through the YouTube Data API. Supports sorting by relevance or time and returns structured JSON data for comment analysis, summarization, and translation tasks.Last updated1
- AlicenseAqualityBmaintenanceAnalyzes YouTube videos using Google's Gemini API, allowing users to get summaries or ask questions about video content via direct URL input.Last updated5362MIT
- FlicenseAqualityCmaintenanceLocal MCP server that enables delegating low-risk tasks like summarization or code patches to a low-cost model, with the main agent reviewing results.Last updated2
- FlicenseAqualityDmaintenanceRoutes narrow text-processing tools (classification, extraction, summarization, etc.) to budget models to reduce token consumption on the main model.Last updated7
- AlicenseAqualityCmaintenanceAn MCP server that enables web searching, URL content extraction, and summarization without requiring API keys. It also provides advanced mathematical evaluation and multi-language Wikipedia summary retrieval tools.Last updated52387MIT
- AlicenseAqualityBmaintenanceA privacy-first, zero-cost AI assistant that lets you chat with your documents locally via CLI or web app, supporting search, summarization, and Q&A using your own model.Last updated7MIT
- AlicenseAqualityCmaintenanceEnables LLM agents to search arXiv, download papers, parse PDFs into structured sections, and extract key findings using client-side LLMs. Features persistent caching and layout-aware PDF extraction.Last updated6MIT
- FlicenseAqualityBmaintenanceConverts subtitles or text into a single 1080×1620 infographic card (HTML+PNG) using LLM to generate content and Puppeteer for rendering.Last updated3
- AlicenseAqualityCmaintenanceAn MCP server for intelligent YouTube video analysis that provides token-optimized summaries, sentiment analysis, and entity extraction from transcripts. It enables AI assistants to perform video reporting, channel monitoring, and comprehensive YouTube searches through structured data tools.Last updated1047Apache 2.0
- AlicenseAqualityCmaintenancedistill-mcp-v2 is a high-performance, network-dependency-free Python FastMCP server designed to aggressively optimize Large Language Model (LLM) context windows. It provides specialized tools for compressing and analyzing massive AI-agent payloads without losing critical semantic information.Last updated8MIT
- AlicenseAqualityDmaintenanceEnables counting characters or bytes in text with options to include or exclude whitespace. Provides a simple tool for text analysis and length measurement.Last updated1MIT