"Understanding 'fetch' (could refer to programming, definition, or other uses)" matching MCP servers:

A minimal MCP server that exposes Gemini's web and multimodal understanding (video, audio, document, image) through five dedicated tools.

MCP server that fetches remote or local HTML resources and converts them to Markdown, enabling AI clients to summarize or process web content.

Enables AI agents to maintain persistent, inspectable understanding through typed, revisable updates, and to coordinate multi-agent work via shared graph-based stigmergy.

Analyzes meeting transcripts to determine if they could have been emails, returning filler word count, decisions, action items, and a suggested email.

Enables local video inspection and offline transcription with timestamped JSON and Markdown output, enforced filesystem boundaries, and reproducible content-addressed caching.

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

An MCP server that gives AI tools a reliable way to fetch content from the web, handling anti-bot protection and JavaScript-rendered pages.

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.

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

Enables browser automation using Puppeteer through the MCP interface. Allows launching browsers, creating pages, and executing arbitrary JavaScript for web scraping, testing, and debugging tasks.

Provides functionality to fetch web content in various formats, including HTML, JSON, plain text, and Markdown with support for custom headers.

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.

A template for deploying remote Model Context Protocol servers on Cloudflare Workers using Server-Sent Events without authentication. It enables users to host custom tools on the edge and connect them to clients like Claude Desktop or the Cloudflare AI Playground.

Fetches and renders web pages using a headless Chromium browser, returning clean Markdown or HTML content even for JavaScript-heavy single-page applications.

A Node.js port of the official Fetch MCP server that enables LLMs to fetch and extract web page content as markdown, with support for pagination, robots.txt, and custom user-agent.

Enables AI bots and agents to call self-hosted APIs behind Cloudflare Access through a single HTTP fetch tool, using human-approved OAuth tokens instead of long-lived credentials.

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

An MCP server that enables AI assistants to fetch web content in multiple formats (HTML, JSON, text, Markdown) with intelligent content extraction, chunk management, and browser automation support.

Enables AI assistants to access content from authenticated web pages by opening a real browser for manual login and session capture. It saves browser profiles locally so users only need to log in once per service for future automated access.

This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption.