"Transcribing Voice Conversations into Structured Meeting Notes" matching MCP servers:

Fetches and analyzes website content to provide business context to AI agents, designed for Voice AI in GoHighLevel.

This MCP server allows Cursor AI users to search and retrieve SAP Notes and Knowledge Base articles using SAP Passport authentication and Playwright automation.

An MCP server that generates structured notes from Bilibili videos by automatically downloading audio, transcribing with Whisper, and processing through LLM.

Crawl any website into clean Markdown, search through pages, read full content, and extract structured data using OpenAI, Claude, Gemini, or Grok — with auto-citation and resume support.

A fast, dependency-light MCP server that converts web pages into clean Markdown, structured metadata, and classified links for language models.

Enables enriching company domains into structured firmographics including employee band, industry, HQ, founded year, revenue estimate, logo, and description, with source provenance and data completeness scoring.

Converts raw HTML into structured, AI-readable page maps with 97% token reduction, enabling agents to read, click, type, and navigate any web page.

Enables AI assistants to perform comprehensive research by searching Google, mining Reddit discussions, scraping web content with JS rendering, and synthesizing findings with citations into structured context.

Enables web scraping and structured data extraction via x402-powered USDC payments on Base mainnet, with tools for scraping URLs into markdown, extracting schema-defined JSON, and checking wallet balances.

Enables Claude Code to browse and import conversations from a user's claude.ai account, making mobile chat history available in the editor. Includes tools to list, read, and save web conversations locally.

Turns public websites into portable SKILL.md files via MCP using Firecrawl.

An MCP server for fetching and transforming web content into various formats.

An MCP server that searches Xiaohongshu (Little Red Book) for top-liked image-text notes, extracting structured data such as title, content, author, links, and images. It can be used as an MCP tool or CLI for AI workflows.

An agent-agnostic web extraction and fetch layer that turns URLs into verified, typed data with confidence scores via MCP, REST, or SDK, orchestrating scraping engines behind a resilience ladder and supporting structured extraction against any schema.

Enables extracting precise data from web pages by parsing the DOM with CSS selectors and returning structured JSON, while also offering tools to inspect page structure, discover candidate selectors, and verify them without loading full pages into context.

Direct access to 40+ scraping and search tools. Extract structured data from Google (Search, Maps, Trends), Amazon, Airbnb, Social Media, and any web page directly into your AI agent.

Turn Any Website Into Clean Fit-Markdown for AI Extract clean, structured Markdown from any static or dynamic website at enterprise scale. Reduce token costs by 90% and feed pure signal into your RAG pipelines and AI agents.

Extracts any Instagram post, reel, or multi-slide carousel and converts captions, OCR text, and metadata into structured screener filters such as PER, PBV, ROE, RSI, and volume for reusable IG-to-screener workflows.

Turn YouTube, TikTok, X videos and websites into structured data. Skip the hassle of video transcription and data scraping. Our APIs help you build better software and AI products faster.

An open-source MCP server that provides AI assistants with structured, token-efficient web context through specialized tools for searching, scraping, and deep research. It streamlines developer workflows by delivering optimized Markdown content directly into IDEs like VS Code, eliminating the need for manual browser switching.