"A simple MCP server or implementation" 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.

Empowers LLMs to scrape web pages and generate sitemaps through the Firecrawl Simple API, with support for JavaScript rendering and configurable options.

Enables Google search with advanced options (date, language, country, safe search) and webpage content extraction via the Model Context Protocol.

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.

A server that provides a website fetching tool via SSE transport, allowing users to retrieve content from specified URLs.

A lightweight MCP server for reading public YouTube data, offering tools to fetch video transcripts, playlist contents, and video metadata without requiring an API key.

A simple MCP server that facilitates website fetching through a configurable server platform using stdio or SSE transport, allowing integration with tools like Cursor for streamlined access.

An MCP server for automating browser tasks using the Browser Use API. Provides tools to run, monitor, and manage browser automation tasks.

Java implementation of MCP Server for Crawl4ai

A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.

An MCP server for Screener.in to search Indian companies, fetch financial ratios, statements, peer comparisons, and run custom screens.

Web extraction MCP server for AI agents. Extract structured data from any URL with built-in Cloudflare bypass, JavaScript rendering, and intelligent parsing. Returns clean markdown or JSON.

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

Model Context Protocol (MCP) server for web content fetching and extraction. Enables fetching webpages, extracting clean content using Trafilatura, discovering links, and batch fetching up to 10 URLs.

A Model Context Protocol server that provides web search and content fetching through DuckDuckGo, with rate limiting, error handling, and LLM-friendly output formatting.

Enables natural-language search and retrieval of Taiwan 104 job bank listings, including job details and company-specific openings, with filters for location, salary, experience, and remote work through an MCP interface.

Enables AI assistants to search Twitter/X, YouTube, Reddit, Google, app-store listings, and 100+ other public web data endpoints via natural language, with prepaid credit or per-call USDC payment and no account or OAuth required.

Gives AI agents real-time web access with JS rendering, captcha solving, and geo-targeting via the Massive Web Render API.

Self-hosted SearXNG metasearch for MCP clients: web, image, news, video, music and page fetch.

Web Content Retrieval (full webpage, filtered content, or Markdown-converted), Custom User-Agent, Multi-HTTP Method Support (GET/POST/PUT/DELETE/PATCH), LLM-Controlled Request Headers, LLM-Accessible Response Headers, and more.