"author:{result['url']}" matching MCP servers:

An MCP server for SearXNG that provides web search capabilities with concise model-visible output while preserving full result payloads in metadata. It supports search, parallel fetching, URL extraction, and research workflows through both local stdio and streamable HTTP transports.

An MCP server that fetches any URL and returns clean Markdown, plus web search with real links.

An MCP server that fetches web pages and extracts clean, AI-usable context from them, enabling tools for link discovery, content search, and integrated fetch-and-search operations.

MCP server that provides automated Google search capabilities, allowing query execution, result limiting, and optional related keywords retrieval.

Enables AI assistants to read and analyze Medium blog posts, including member-only content with login support, and search articles by author or keyword.

MCP server for web scraping — extract clean markdown, links, and metadata from any URL. Free Firecrawl alternative.

Enables web, image, and news search through the 4get Meta Search engine API. Features smart caching, retry logic, and comprehensive result formatting including featured answers and related searches.

A self-hosted MCP server providing web search and URL fetching tools, running locally without external API keys or accounts.

Enables extracting visible text and links from webpages for content analysis.

Multi-source web search MCP server with RRF fusion, 4-layer URL extraction, and provider health tracking.

A Model Context Protocol (MCP) server that enables Claude or other LLMs to fetch content from URLs, supporting HTML, JSON, text, and images with configurable request parameters.

Enables web search through DuckDuckGo and webpage content fetching with intelligent text extraction. Features built-in rate limiting and LLM-optimized result formatting for seamless integration with language models.

Enables web scraping and content extraction from URLs using the Trafilatura library. Extracts main text content and metadata (title, author, date) from web pages with configurable options for comments and tables.

Enables fetching visible text content and extracting all links from web pages through URL requests. Designed specifically for LM Studio integration to provide web scraping capabilities.

Integrates Jina AI Search Foundation APIs to provide web page content extraction and search capabilities. It supports automatic pagination, result caching, and both standard and VIP search endpoints for enhanced information retrieval.

A Model Context Protocol server that enables LLMs to fetch and process web content in multiple formats (HTML, JSON, Markdown, text) with automatic format detection.

Enables users to search and retrieve content from Xiaohongshu (Red Book) platform with smart search capabilities and rich data extraction including note content, author information, and images.

Gives an agent a real browser. Turns any url into clean markdown, takes a screenshot of a url, and converts a url or raw html to pdf. It runs javascript, so it works on pages that a plain fetch returns empty. Respects robots.txt and refuses sites that block automation instead of trying to defeat them. No signup and no api key to start: the first call mints a free trial key and hands it back.

Enables web search through a SearXNG instance via MCP, returning search result summaries.

Enables AI agents to perform live web searches with ranked results and extracted page passages, plus clean markdown extraction of any URL.