"Multi MCP (Model Context Protocol) implementation or management" matching MCP servers:

Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.

Provides live web and document intelligence, including search, company news, scraping, crawling, structured extraction, document parsing, brand intelligence, screenshots, website monitoring, and batch jobs.

Gaia Protocol—a planetary DAO for global resource management using quantum-entangled ledgers and algorithmic governance.

Provides text, hashing, timestamp, math, base64, and UUID utilities for opencode, along with a professional web scraper capable of fetching pages, parsing DOM with jsdom, extracting structured data via DSL, and following pagination. Includes an installer CLI to automatically configure the server and slash-command plugin.

MCP server for multi-engine browser automation with proxy rotation, enabling AI-driven web interaction and task execution across Camoufox, DrissionPage, and Browser Use.

Local-first documentation for AI agents

An MCP server that fetches web pages and extracts clean, AI-usable context from them, enabling tools for link discovery, content search, and integrated fetch-and-search operations.

Enables fetching and extracting web content as markdown using Firecrawl API, with support for single or multiple concurrent URL fetches and web search capabilities.

Provides a complete end-to-end MCP server implementation with file system tools, web scraping capabilities, and system information access. Includes ready-to-use configuration files and integration examples for Claude Desktop, ChatGPT, and other AI models.

Enables AI assistants to summarize, take notes on, and answer questions about YouTube, Bilibili, and Xiaohongshu videos by providing subtitles and local speech transcription with timestamps via MCP.

14 web scrapers as MCP tools for AI agents: Reddit, Amazon, Google Maps, Yelp, YouTube, Indeed & more.

Fetches and caches public site pages from llms.txt and returns structured answers with source URLs, enabling verification of claims against live public content.

A read-only MCP server that gives AI agents the web as compact, ranked, verified evidence — no API keys, no cloud retrieval, all models local.

Transforms social media links (TikTok, Instagram, YouTube) and videos into text context with transcription, OCR, and metadata for AI agents like Claude and Cursor.

MCP server that lets AI agents use your real browser as an API, accessing any website with your login state, no keys or scrapers needed.

An MCP server that aggregates search results from Baidu, Bing, and Sogou without requiring any API keys, with built-in caching and anti-crawl strategies.

Enables multi-agent research with web search and analysis, accessible via VS Code Copilot tools.

A Context-as-a-Service MCP server that maintains structured, graph-based context for Shopify apps by extracting and summarizing data from web sources and help centers. It enables multi-agent systems to retrieve isolated, provenance-backed context slices or starter bundles via push and pull mechanisms.

Enables web content extraction and Google Search through Google AI Studio's URL context functionality. Supports batch processing of multiple URLs and returns structured JSON output for web page text and image analysis.

A Model Context Protocol (MCP) server implementation that integrates with Firecrawl for web scraping capabilities.