74 boosters for "extract" — AI-graded, open source, ready to install
Extracts and summarizes YouTube video transcripts into structured notes with key learnings and actionable suggestions. Useful for researchers, students, and content consumers who want quick, clean summaries without manual transcription.
Telegram automation assistant that helps users digest unread messages, analyze writing style, and draft/publish posts to Telegram channels. Ideal for content creators, community managers, and Telegram power users seeking workflow automation.
A Python skill booster for BeautifulSoup4 that enables parsing, searching, and modifying HTML/XML documents through a navigable tag tree. Developers working with web scraping, data extraction, and HTML manipulation benefit from this practical library integration.
This MCP server automates worklog generation by extracting and enhancing git commit data with AI, then syncing it to Povio dashboards. It's ideal for developers and teams using Claude/Cursor who need to streamline time-tracking and work documentation from their version control history.
TransBigData is a comprehensive Python toolkit for traffic and geospatial big data analysis, including trajectory processing, taxi OD extraction, metro network analysis, and visualization. It's ideal for transportation data scientists, urban planners, and mobility researchers handling GPS traces and spatio-temporal datasets.
Arcanea InfoGenius Pro combines Google Search research with Gemini 3 Pro to generate visually rich infographics in 10 styles, helping developers and content creators quickly transform complex topics into engaging visual intelligence.
This MCP server automates cloud browser interactions to navigate websites, interact with page elements, and extract structured data—ideal for developers building web automation, data scraping, and testing workflows.
Automates bulk annotation of CSV data by applying OpenAI prompts to each row and adding results as a new column. Ideal for developers who need to classify, extract, or summarize spreadsheet data at scale.
A specialized system prompt that guides AI assistants to extract and analyze climate policy information from U.S. state and city adaptation/resilience plans with strict citation and formatting requirements. Ideal for researchers, policy analysts, and climate professionals who need structured, evidence-based climate policy analysis.
A web scraping MCP server that extracts and converts web pages into clean HTML, links, or Markdown format, supporting dynamic and complex pages. Useful for developers building AI applications that need to process web content programmatically.
This MCP server enables extraction of text from documents, PDF manipulation, and OCR on images, making it useful for developers building document processing workflows in Claude Desktop, Claude Code, and Cursor.
A specialized system prompt that guides AI models to extract and analyze climate-related information from U.S. state and city adaptation and resilience plans with strict, dataset-ready formatting. Researchers, climate policy analysts, and data collection teams benefit from the structured extraction approach.
zai-vision enables Claude Code to dynamically access vision capabilities through an MCP server, allowing developers to convert UI screenshots into code/specs and extract text via OCR. It benefits developers building AI-powered tools that need to analyze visual content without loading all tools upfront.
A specialized PDF processing agent that handles text extraction, metadata retrieval, and OCR operations using unpdf and PaddleOCR technologies. Ideal for developers building document processing pipelines, data extraction workflows, and document management systems.
This skill enables AI assistants to control a live Chrome browser session for web automation tasks like navigation, interaction, data extraction, and screenshots directly within Factory CLI workflows. Developers and AI agents benefit from live browser control for testing, scraping, and task automation without leaving the coding environment.
Gradle Dependency Checker analyzes Gradle project dependencies, extracts version information, and visualizes dependency trees for Kotlin/kotlinx/skiko/androidx libraries. Developers working on Gradle-based projects benefit from quick dependency auditing and version management.
A system prompt that converts raw HTML into structured Semantic UI Maps with XPath selectors, designed for developers using Claude Code, Cursor, Windsurf, and ChatGPT to quickly extract and document UI elements from web pages.
A practical integration guide for enhancing OCR text extraction with visual and language LLM capabilities using local Ollama models in Caption Extractor. Developers working with document processing, image analysis, and text correction workflows benefit from this reusable agent framework.
Extracts and summarizes YouTube video transcripts into structured notes with key learnings and actionable suggestions. Useful for researchers, students, and content consumers who want to quickly capture and organize video insights without manual note-taking.
A specialized agent that intelligently researches, validates, and categorizes knowledge sources for AI systems, determining optimal storage methods (URL references, local extracts, or embeddings) using parallel web scraping. Ideal for developers building knowledge-intensive agent systems who need automated source curation and validation.
A safe, high-signal web browsing MCP server that enables Claude to fetch and extract content from web pages using Playwright, ideal for LLM agents needing reliable real-time information. Developers building Claude integrations that require web access will find this particularly valuable.
A knowledge curation agent that researches, validates, and determines optimal storage methods (URL reference, local excerpt, or embedding) for information sources using parallel web scraping. Ideal for AI engineers building knowledge-intensive agent systems who need intelligent source evaluation and integration.
Create production-ready AI skills by extracting domain expertise and system ontologies, ensuring reliable performance in real-world applications. Ideal for developers building AI assistants that need deep contextual knowledge.
Arjunkmrm Fetch is an MCP server that enables AI assistants to fetch and extract specific content from web pages using CSS selectors. It's valuable for developers and AI builders who need to integrate web scraping and data extraction capabilities into their Claude-powered applications.