"A tool for fetching and retrieving web pages or web content" matching MCP servers:

A fast web reader for AI assistants, served over MCP. It reads web pages and PDFs and returns only the passages that answer the question, not whole pages. It runs locally and keeps nothing.

A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.

A powerful tool for fetching and extracting text content from web pages and APIs, supporting web scraping, REST API requests, and Google Custom Search integration.

Enables reading web pages and PDFs as clean Markdown, extracting main content and letting agents query for relevant passages, outline sections, search in-page, and list links while respecting robots.txt and blocking private addresses.

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

Provides a unified web search tool for AI agents by running multiple search providers concurrently and returning normalized results. It integrates with Claude Code, Codex CLI, OpenCode, and Hermes.

📇 ☁️ - Capture web pages as cryptographically signed, tamper-evident evidence. Ed25519 signatures, RFC 3161 timestamps, and WACZ archives. Four tools: capture_url, get_capture, list_captures, verify_capture.

Connect AI assistants to your Gramps Web family tree. Search and edit genealogy records, explore ancestors, descendants, relationships and timelines, and read document scans with vision-capable models. Includes guided research workflows, source citations, read-only mode, and privacy-aware media previews. Install with Docker or a Claude Desktop bundle.

Enables MCP-capable agents to perform reliable web search and content fetching through a single server that automatically fails over across multiple providers. It handles keyed or keyless authentication automatically and returns clean Markdown or text results.

An MCP server that lets an AI agent probe a live URL and confirm whether sensitive files (e.g., .git, .env, source maps) are genuinely served by fetching and validating the content, avoiding false positives.

MCP server for AI-powered web research — search (Google, Brave, Serper, SearXNG), scrape any page, extract PDFs/DOCX/YouTube transcripts, academic & patent search. Single Go binary. Works with Claude, Cursor, Copilot, and any MCP client.

Enables an assistant to search and read AnkiWeb's shared-deck catalogue, download decks as .apkg files or Markdown, list the decks synced to your account, and publish a deck after a confirmed preview, all through your own AnkiWeb session. It can reuse a signed-in session from a local Chromium browser or open a login window, keeping credentials out of the server.

Enables fetching any public web page through managed proxies, with optional JavaScript rendering, returning markdown, text, HTML, or structured JSON.

MCP server for web scraping with natural language, enabling site crawling, page fetching, and extraction of emails, phones, links, and social profiles. Returns clean markdown, handles JavaScript rendering, and respects rate limits.

Pay-per-call web page extraction, on-page SEO audits and text analysis for AI agents. Paid in USDC on Base via x402; no API keys, failed calls are not charged.

A local Python WebSocket bridge and browser extension that securely connects web AI chats to local Model Context Protocol (MCP) servers. It enables web-based AIs to execute local tools with granular permission controls, providing the same powerful tool and system access typically exclusive to desktop agent harnesses like DeepSeek Harness, Claude Code, Codex and more.

Enables privacy-focused web searches using DuckDuckGo and extraction of clean, readable content from web pages with support for parallel processing of multiple URLs.

Enables AI agents to perform web searches via DuckDuckGo without API keys and automate browser tasks with headless Chromium. Supports multi-step research workflows that automatically search and extract content from multiple pages.

Whatsapp-Web MCP

Enables AI coding assistants to validate HTML/CSS markup using W3C APIs, perform technical SEO audits, check broken links, and validate JSON-LD schemas directly in local workspaces.

MCP server exposing 17 pay-per-call web, finance, legal and onchain utilities for AI agents: crypto readers and Base deployer intelligence, SEC EDGAR filings, OFAC sanctions checks, insider transactions, 13F holdings, and multi-jurisdiction caselaw and legislation search. Pay per call in USDC on Base via x402 or MPP.

Enables converting any URL or website into clean, LLM-ready Markdown, supporting single-page scraping and full-site crawling for AI agents.

Pages Native 0.5.0: 36 local MCP tools and a Codex plugin for native Apple Pages on macOS. Guarded text and table edits, structured search, typed model recipes, batches of up to 10 documents, recipe history and restoration, native PDF previews. Uses only the public Pages scripting API; preserves .pages without Word conversion or Accessibility.

Company profiles, site audits and page-to-JSON for AI agents.

Provides AI agents with tools to detect website tech stacks, enrich company profiles, monitor sitemaps for new or changed URLs, check URL indexability, and retrieve EU fuel prices as clean JSON, billed per result.

Enables AI agents to extract clean LLM-ready markdown and readable articles from web pages, parse metadata, tables, links, feeds, and contact info, audit paywalls, SEO, and XSS, and access these tools via Streamable HTTP or a stdio bridge.

Enables querying Shopify App Store apps and Chrome Web Store extensions by category, keyword, or listing URL, returning ratings, reviews, pricing or user counts, and developer website, domain, address, and email. Filters by minimum rating or reviews and produces one row per listing ready for outreach or enrichment.

Enables MCP-compatible agents to scrape web pages and distill them into clean Markdown by removing cookie banners, navbars, and ads for efficient consumption.

Enables AI agents to analyze a piece of content across 11 dimensions and receive ranked, scored recommendations among six cross-media output formats (PPT, infographic, comic, short video script, newsletter, reusable skill), then generate dispatch prompts for the chosen format. It also exposes the format catalog and profile schema as read-only tools, supporting batch routing of an entire content library.

Enables AI agents to check a list of websites by running an Apify Actor through one tool, returning per-site tech stack, on-page SEO issues and score, robots.txt rules for AI crawlers, sitemap, llms.txt presence, and an AI-readiness score. Supports local stdio operation with an Apify token for tool calls.