"Information about 'fetch' or related resources" matching MCP servers:

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

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.

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

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.

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

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

Enables LLMs to retrieve and process web content by fetching URLs and converting HTML to markdown format. Supports chunked reading of large pages and can access both public websites and local networks.

Enables AI assistants to fetch public data from 120+ sources via natural language and save it locally as Excel, GeoJSON, or KML files.

Enables fetching and converting web content into various formats including HTML, JSON, plain text, and Markdown. It supports custom request headers and provides specialized tools for on-demand web data retrieval and transformation.

Enables AI agents to search and compare live UK product prices from marketplaces like eBay and Amazon, returning normalised JSON with direct buy links.

A Model Context Protocol server that provides web content fetching and conversion capabilities.

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

A Python MCP server for web research that enables fetching web pages, searching, batch-fetching, extracting links, and summarizing content via client-side sampling, with optional local file access.

Discovers related blockchain addresses and domain names for web3 identities across different platforms including Ethereum, Farcaster, Lens, and ENS using next.id's relation server data.

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

A lightweight MCP server enabling web search and content fetching via TinyFish Free Access API with support for single and burst URL fetch.

Enables fetching patents from multiple global sources by patent ID, returning PDF, Markdown, and metadata with automatic caching.

Enables users to search academic sources, resolve identifiers, and download open-access PDFs only after license or open-access checks. Supports single and batch retrieval with audit sidecars and configurable copyright-safety policies.

Provides web search and page fetching capabilities using Ollama's API.

Fetches current and three-day weather forecasts for any city using the wttr weather service through a Docker-based MCP server.

Enables MCP clients to run web searches and fetch pages, returning structured search results and Markdown page content through two tools.

An MCP server that provides web scraping and Bing search capabilities, supporting both static and dynamic content through Puppeteer. It allows AI assistants to extract page summaries, SEO metadata, and full text with automatic detection for headless browser rendering.

Fetches web pages and converts them to clean, readable markdown format by extracting main content while removing navigation, ads, and other non-essential elements to minimize token usage.

A minimal MCP server that enables HTTP requests with any method, headers, and body types, supporting large responses through chunked transfers with disk-backed caching.

Enables MCP clients such as Claude, Claude Code and Cursor to keyword-search a directory of over 1,000 hand-picked productivity tools, apps, AI tools, courses and books, filtering by category, type, pricing and result limit, and to fetch a single listing by slug, page URL or exact name and list all categories with counts. It runs read-only over stdio with no API key, dependencies or tracking, making only a plain GET of the public catalogue.

An MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.

Enables querying parking lot information through an MCP server built with fastMCP, allowing users to retrieve parking facility data via API calls.

Enables MCP clients to run web searches that return ranked results with titles, URLs, snippets, summaries, and optional extracted page content, and to fetch HTTP or HTTPS pages as Markdown. It runs over stdio as a zero-dependency Python server that uses DeepSeek's official APIs and any supported MCP client.