"A server for finding voice-related content" matching MCP servers:

SERP-based content scoring and optimization with 7 SEO categories.

Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.

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

Enables AI agents to extract clean, structured web content (articles, tables, links, visual layouts) optimized for LLM token efficiency, with fast response times and optional JavaScript support.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

Provides Baidu hot search and Bilibili trending video data for Claude and Cherry Studio, supporting retrieval, search, and cache management.

MCP server that fetches and converts website pages into clean markdown for agents, with sitemap-based discovery, disk caching, and polite crawling (robots.txt, rate limiting).

MCP server that fetches raw HTML content from a given URL to provide web context to LLMs.

Provides content intelligence tools for AI agents, including extraction, analysis, research, comparison, monitoring, and briefing, powered by free LLMs with pay-per-call or subscription pricing.

Enables agents to crawl URLs and retrieve page content as fixed-shape structured JSON, including title, markdown, links, word count, and error status.

Provides SEO audits, content analysis, and domain overviews through an MCP server, including on-page, technical, and authority metrics with built-in browser rendering and anti-bot handling.

An MCP server for content creation that extracts video transcripts, scrapes web articles, and performs web searches.

Enables AI agents to collect and localize content from WeChat, Douyin, Kuaishou, Xiaohongshu, and Bilibili, with 47 MCP tools for fetching articles, parsing media, and managing a unified local content library.

An Operit-compatible adapter of the Exa MCP server, enabling web search, code search, and company research capabilities in AI assistants. It fixes MCP handshake compatibility issues, allowing tools like web_search_exa and web_fetch_exa to load and run reliably.

Enables crawling websites, including JavaScript-rendered pages, and returns extracted page content as JSON with structured error reporting.

Gives Claude control of a real, headed Chromium browser via Playwright, enabling web navigation, clicking, typing, screenshots, and JavaScript evaluation.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

Enables AI assistants to fetch, search, and organize menu information from For Five Coffee café. Provides access to complete menu data, category filtering, and item search capabilities through both MCP and REST API interfaces.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

Enables AI agents to drive real Google Chrome with stealth and captcha handling, using Patchright to avoid bot detection.