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

Enables domain name availability checking through DNS and WHOIS lookups with confidence scoring. It supports searching across alternative TLDs and generating domain name variations for branding purposes.

Enables users to brainstorm brandable domain names from a description, check their real-time availability across domains and GitHub/npm/PyPI namespaces, and get ranked buy candidates via RDAP.

MCP server for Facebook Pages organic analytics and management using Meta Graph API v25.0. Enables AI assistants to read page insights, posts, comments, and publish content via natural language.

MCP server for managing LinkedIn Company Pages via the official Community Management API. Post content, manage comments, track analytics, and more through the Model Context Protocol.

Enables AI-powered IDEs to perform SEO research including backlink analysis, keyword generation, traffic estimation, and keyword difficulty using Ahrefs data and CapSolver for CAPTCHA solving.

Enables retrieval and normalization of Google Ads keyword-planning evidence.

Monitor taken usernames and get alerted the moment they free up or drop, so you can claim a handle before anyone else. Also checks live username availability across the major social platforms, domain availability across popular TLDs, and screens names for trademark conflicts.

Provides 17 research tools for comprehensive company intelligence, covering aspects like overview, products, financials, and competitors. Supports both natural language answers and structured JSON output for automation.

Provides comprehensive SEO analysis by crawling websites and generating AI-powered keyword insights, search volume data, and competitor strategies. It delivers detailed reports on keyword clusters and commercial intent to help optimize digital marketing workflows.

A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.

Exposes studio profile and contact information for Symbols of Wealth Studio, enabling AI assistants to answer queries about creative studios in France, AI-powered content production, and premium brand content services.

Enables beginner Amazon India sellers to research product opportunities, estimate demand, analyze competition, calculate profitability, find suppliers, mine reviews, research keywords, and generate listings through Claude Desktop.

Enables Claude to directly manage the Savage in a Suit website through 31 tools for pages, events, members, testimonials, podcast episodes, and site content, with all changes logged.

Enables AI coding assistants to perform SEO research tasks including backlink analysis, keyword research, traffic estimation, and keyword difficulty analysis using Ahrefs data directly within IDEs.

Enables AI assistants to check domain availability across multiple TLDs with real-time pricing, brainstorm creative domain names, analyze domains for brandability and SEO potential, and search for domains by price and category without CAPTCHAs.

Enables monitoring influencer brand share of voice and creator mention sentiment using Meltwater data, delivering deterministic structured output for MCP-compatible clients.

A Model Context Protocol (MCP) server for Microsoft Advertising (Bing Ads / DuckDuckGo Ads). This server enables AI assistants to create, manage, and report on Microsoft Advertising campaigns programmatically.

agentcentral is a hosted MCP server for Amazon sellers that connects Claude, ChatGPT, and other AI clients to Amazon Ads, Seller Central, inventory, orders, catalog, rankings, finance, and fulfillment data. It provides fast reads from pre-materialized Amazon data, scoped API keys, OAuth-based Amazon connections, encrypted tokens, per-tenant isolation, and guarded write tools with audit log

MCP server for managing ad campaigns across Google Ads, Meta, and more. Enables deploying campaigns, checking performance, and managing budgets from terminal or AI assistants.

Enables YouTube competitor research, signal analysis, and transcript-aware pack building for content ideation and scriptwriting.