"Fetching a URL in programming or web development" matching MCP servers:

Enables fetching and reading content from web URLs through a configurable proxy prefix. Uses curl to retrieve webpage content and return it as text for analysis or processing.

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

MCP server that fetches raw HTML content from a given URL to provide web context to LLMs.

MCP server for intelligent web crawling using a ReAct agent. Adaptively explores websites and returns structured analysis.

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.

Enables agents to fetch URL content as plain text or pretty-printed JSON, with optional pay-per-use monetization through Vybe Collect.

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 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.

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.

Provides comprehensive code analysis (quality, complexity, linting, dependencies, security) and web scraping capabilities (static/dynamic content, API discovery) for development workflows.

A stateless MCP server that provides a configurable HTTP client tool for LLM agents, supporting custom methods, headers, bodies, timeouts, redirects, response size limits, DNS overrides, and TLS verification.

MCP server that wraps URLFinder and JSFinder to extract URLs, JavaScript files, subdomains, and sensitive information from web pages, with support for batch scanning and deep crawling.

Enables fetching and processing web content with advanced features including batch processing of up to 20 URLs, streaming support, metadata extraction, and multiple output formats (HTML, Markdown, plain text) with enterprise-grade security and global edge performance.

Enables AI assistants to fetch and analyze web content from URLs through MCP protocol. Supports batch processing, content extraction, summarization, and metadata extraction with intelligent filtering of ads and navigation elements.

Provides URL metadata extraction (title, description, image, site name) from OpenGraph and meta tags for link previews.

A self-hosted MCP server for web search with multi-engine support, combining search, URL fetching, and deep research along with proxy routing and deduplication.

Odysseus Web MCP is a standalone Model Context Protocol (MCP) server for safe public-web search and URL fetching.

Enables a locally-run LLM to search the web, fetch pages as markdown, make arbitrary HTTP requests, and optionally render pages with headless Chromium.

Gives AI agents local web search and page reading with no API keys, layering a SearXNG-backed search cache with browser-based fallbacks and returning clean page text from HTML, PDF, JSON, and archived snapshots. Fetches run in Docker alongside the search engine with SSRF protection, egress filtering, and untrusted-content marking so agents can safely retrieve live web data.

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