"How to conduct thorough research across pages of a domain" matching MCP servers:

A simple MCP server that enables AI assistants to perform domain research including availability checking, WHOIS lookups, DNS record retrieval, and finding expired domains without requiring API keys.

An MCP server for domain availability checks, WHOIS lookups, and domain suggestions using RDAP and TCP port 43. It allows users to perform bulk checks and retrieve registration details across multiple TLDs without requiring an API key.

Enables AI agents to check domain availability, perform batch domain lookups, and generate intelligent domain name suggestions across multiple TLDs using WHOIS integration.

Multi-purpose research MCP server integrating web search, deep research, web scraping, research methodology routing, and GPT Researcher report generation.

MCP server for compact Reddit research packs. Enables Reddit data extraction, search, and trend analysis through a set of tools like reddit_search and reddit_thread.

MCP server for web research using anti-detect Camoufox browser. Enables search, page reading (including JS/SPA), batch fetching, clicking, typing, and live browsing sessions with caching and retries.

An MCP server for deep research that performs search, scraping, synthesis, fact-checking, and persistent memory, enabling users to conduct comprehensive research tasks via Claude.

A Model Context Protocol server that provides comprehensive domain analysis capabilities including WHOIS lookups, DNS record queries, and DNS health checking.

Enables bounded web research through DuckDuckGo search and retrieval of public HTTPS pages as readable text, Markdown, JSON, or XML, with optional excerpt matching and strict safety validation.

Enables AI agents to search the web, fetch pages, and synthesize research through three tools: web_search, fetch_page, and research_topic, all in a single pay-per-use API call.

MCP server for local, source-agnostic research, turning briefs into platform-specific searches and cited evidence dossiers with PostgreSQL storage and optional browser capture.

Enables domain availability checking through dual verification using WHOIS lookups and DNS resolution. Supports both single and batch processing to provide detailed analysis on whether domains are likely available or already registered.

A stateless MCP server that provides web search, single page reading, and batch page reading tools, with automatic failover across multiple search and content extraction providers.

Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.

Browser-based research MCP server that drives a real Chromium browser via patched Playwright to access JavaScript-rendered content, dynamic tables, and login-walled dashboards. It provides tools for visiting URLs to extract DOM text and screenshots, and for performing structured data extraction using Anthropic Claude Sonnet.

Enables AI assistants to perform comprehensive research by searching Google, mining Reddit discussions, scraping web content with JS rendering, and synthesizing findings with citations into structured context.

Paid web research MCP tools for autonomous agents: search, page extraction, citations, and diff monitoring through a live x402 API. Unpaid calls return the Base USDC payment requirement so agents can pay and retry safely.

An MCP server for cross-platform social media research that enables scraping, semantic search, and analysis across seven major social platforms. It uses Apify for data retrieval and stores results in a local database for AI-powered trend detection and profile analysis.

Comprehensive web research toolkit with 13 tools for searching (via SearXNG), crawling, package discovery, GitHub metrics, error translation, API documentation lookup, data extraction, technology comparison, and service status checking.

A Model Context Protocol compliant server that facilitates comprehensive web research by utilizing Tavily's Search and Crawl APIs to gather and structure data for high-quality markdown document creation.