"mcp server fetch" matching MCP servers:

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.

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.

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.

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

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.

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

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

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

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

Hound MCP Servers Gives your agent actually good fetch + Search for 0$, no catch, no api keys or free tiers, fully free.

Enables MCP clients and agents to run structured web searches and fetch web pages as Markdown through a search/fetch API, with rate limiting, retry/backoff, request deadlines, and private-address blocking for safer agent use.

Exposes token-authenticated search and fetch tools over Streamable HTTP so MCP clients can run web queries and retrieve page content from an upstream search API. It adds per-profile Bearer auth, concurrency and rate limits, request-size and output caps, and sanitized errors, while requiring no model calls or client-specified upstream addresses.

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

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.

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.