"fetch" matching MCP servers:

Fetches web pages and converts them to markdown for LLM consumption, supporting chunked reading and raw content extraction.

Fetch URLs and return clean, LLM-ready markdown with metadata and layered prompt injection defense. Configurable timeouts, word limits, JS rendering, and link extraction. All-in-one MCP server + CLI.

Enables AI assistants to fetch and process web content securely, including HTML-to-markdown conversion, reader mode, metadata extraction, RSS/sitemap parsing, and robots.txt-aware requests with SSRF protection.

A dedicated web content fetching and conversion MCP server that provides tools for fetching, converting, and extracting data from web pages.

A Model Context Protocol server that allows LLMs to retrieve and convert web content to markdown without robots.txt restrictions.

A Model Context Protocol server that intelligently fetches and processes web content, transforming websites and documentation into clean, structured markdown with nested URL crawling capabilities.

A headless browser MCP server that allows AI agents to fetch web content and perform Google searches without API keys, supporting various output formats like Markdown, JSON, HTML, and text.

Enables fetching HTTP resources through the MCP protocol.

An MCP server that enables interaction with the YouTube Data API, allowing users to search videos, get video and channel details, analyze trends, and fetch video transcripts.

Fetches web content and converts HTML to markdown with robots.txt compliance and proxy support.

Enables LLMs to fetch and extract web content as markdown with browser impersonation to bypass basic bot detection.

MCP server for web page fetching (converting to Markdown/text with automatic fallback between Tavily and Firecrawl) and web search via Tavily.

Reduces token consumption by 73-87% by cleaning web and API data before it reaches the LLM context window. Supports fetching URLs, searching the web, optimizing JSON, and more.

MCP server for fetching web pages without robots.txt restrictions, supporting all standard HTTP methods, custom headers, body, redirect control, and timeout settings.

A content fetcher that sanitizes, size-caps, and caches fetched content, protecting against injection attacks via the Model Context Protocol.

Provides functionality to fetch web content in various formats, including HTML, JSON, plain text, and Markdown.

Enables LLMs to fetch and process web content by converting HTML into markdown for easier consumption. It supports chunked reading via pagination and provides configuration options for robots.txt compliance and proxy usage.

Provides functionality to fetch web content in various formats, including HTML, JSON, plain text, and Markdown.

Enables fetching, crawling, and analyzing web pages with 29 tools for SEO audits, content extraction, and more.

MCP server that provides web content fetching, summarization, comparison, and extraction capabilities, handling up to 20 URLs per request.