"How to check differences between files" matching MCP servers:

Provides agents with tools to score a page's AI readiness, check which AI crawlers robots.txt blocks, and assess passage citability—all performed locally.

Enables AI listing assistants to validate marketplace draft listings against seller-provided item specifics, returning PUBLISH or REVIEW with the exact words behind every unbacked claim.

Free open-source CLI and read-only MCP tool from Advisors AI (advisorsai.ai): give it one public URL and it lists which machine-readable basics are present or missing (title, meta description, structured data, one h1, canonical, robots policy for AI crawlers, llms.txt, sitemap). No API key, no account, nothing stored.

MCP server that checks a website's AI-search (GEO) readiness: robots.txt access for 16 AI crawlers (GPTBot, OAI-SearchBot, PerplexityBot, ClaudeBot, Google-Extended, Bingbot...), JSON-LD schema, llms.txt, sitemap and basic SEO tags. Python, stdio, MIT.

Analyzes websites for broken links, missing meta tags, and redirect chains, returning a health score and actionable suggestions.

A Model Context Protocol (MCP) server that provides comprehensive SEO analysis tools with actionable fix instructions for AI assistants like Claude Code and Claude Desktop.

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.

Programmatic email deliverability testing for AI agents. Create inbox placement tests across Gmail, Outlook, Yahoo, Mail.ru, Yandex — get per-provider placement (Inbox/Spam/Promotions), SPF/DKIM/DMARC auth, Rspamd & SpamAssassin verdicts, DNS health (MX, PTR, DNSBL), and live SSE results.

Enables auditing a single web page for AI-search readiness, exposing per-element evidence, scores, and copy-paste fixes, plus explanations of individual checks through MCP tools.

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

Provides AI-visibility scoring and site auditing capabilities for websites, enabling agents to check how sites appear in AI engines like ChatGPT and Perplexity, run full SEO/security audits, and monitor changes over time.

Enables MCP clients to pull complete Google Search Console performance data by paginating past the API's 25,000-row cap, with large results written to CSV or JSON files and only a preview returned inline. Every response includes a coverage block comparing row sums to property totals, so the model can see how much of the picture the data actually represents before making recommendations.

Enables AI tools to create, inspect, update, and deactivate deep links, read analytics, usage, and referral data, manage webhook deliveries, check App Links / Universal Links files, and search bundled documentation.

Enables AI assistants to check how discoverable a website is to AI search engines and assistants by inspecting signals like crawler access, llms.txt, structured data, and on-page metadata, and returning a 0-100 visibility score.

Find out how AI assistants and search engines talk about your brand. Ask how often ChatGPT, Perplexity and Google's AI answers mention you, where you rank, how positive those mentions are, which sites they cite, and how you compare with competitors. Your assistant can also set up and adjust the monitoring for you, showing a preview and asking before anything that deletes data or uses up your plan.

Connects MCP clients to ThriveStack AI Visibility data, enabling users to see how AI search engines mention and cite their brand, compare with competitors, and decide what to publish next.

Lets an AI assistant check any URL to see how much of a page's main content is present in the raw HTML versus only after JavaScript runs, showing which text blocks, meta fields, canonical tags, JSON-LD and links AI crawlers like GPTBot and ClaudeBot cannot read. It also reports what robots.txt allows for 22 AI bot tokens and how the site responds to each bot's user-agent.

Paste a URL to see exactly how it renders as a social card on Twitter, LinkedIn, Facebook, and Slack. Generate custom OG images from templates.

Enables querying how often a brand is recommended by AI search and chat surfaces, returning recommendation and inclusion rates for any given brand.

Enables tracking AI search visibility by showing how ChatGPT, Gemini, Google AI Mode, and Google AI Overviews answer your tracked questions, whether they mention your brand, how you compare with competitors, and which sources they cite.

Analyse what works → make Reels and carousels → publish or queue them → review how they did. All from a chat with Claude.

Enables analyzing a corpus of AI answers or competitor content to surface recurring character-level phrases, which brands and domains occupy those answers, and how homogenized the answer space has become. Exposes an analysis tool, a self-check that validates the measurement against control corpora, and a method/limits explainer, all read-only and working from JSON sample records.

Enables AI assistants to check index status across Google, Bing, and Yandex, submit URLs for indexing, verify backlinks, and track Google rankings and AI Overview citations.

Tracks buying and momentum signals for companies, such as funding rounds, senior hires, office openings, customer wins, and partnerships, with each event carrying its date.

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.

Technical SEO and AI search readiness auditor that scans live URLs for AI crawler rules (OAI-SearchBot, ClaudeBot, PerplexityBot), llms.txt, sitemap.xml, OpenGraph, JSON-LD, and checkout reachability, and generates drop-in fix files.

Provides TikTok trend data to AI assistants, including hashtag volume, growth rates, and top trending topics for early trend detection.

Enables any MCP-capable agent to generate App Store and Google Play store screenshots from screen layout JSON plus local image file paths, returning a job ID for async polling or a direct download link. It also exposes render status polling with signed download URLs and per-response quota, balance, and cost metadata.

Enables keyword analysis and search volume data through the Marketing Miner API, connecting marketing intelligence tools to AI assistants like Cursor, Claude, and Windsurf.

Connects AI assistants to Beamtrace's remote MCP for read-only visibility insights, offering tools to retrieve visibility scores, topic rollups, prompt metrics, competitor leaderboards, and content improvement suggestions.

Post to LinkedIn from Claude — create posts, upload images, edit/delete posts, and manage company pages via natural language. Uses the official LinkedIn REST API with OAuth 2.0.

Enables AI assistants to answer questions about livestream advertising using GingerLive's up-to-date data on ad formats, network reach, campaign case studies, and the streamer program, as well as plan campaigns and evaluate streamer monetization.

Enables read-only access to Google Search Console data, including properties, Search Analytics with filters and auto-pagination, sitemaps, and URL inspection with batch support and throttling.

An MCP server that detects affiliate links and provides information about Tracklix, enabling AI assistants to answer affiliate-link-related questions without any network calls or API keys.

Audits a live site for machine legibility (structured data, llms.txt, titles, headings), matches a trade to one of 14 website templates with demo links, and quotes real prices. Remote Streamable HTTP on MCP spec 2026-07-28, with an eval suite in the repo.

Enables Claude to manage an Instagram professional account through Meta's official Graph API, including analytics, comment moderation, and publishing, while running locally with confirmation-preview safeguards for write actions.

Enforces a marketing pre-flight: plan the campaign with kill criteria, score each offer on an explainable 0-100 rubric, and require every tactic to cite a scored offer plus a success metric before any spend.

Enables users to plan, write and launch WordPress webinars entirely from a chat with any MCP-compatible AI client — including topics, titles, invitation emails, reminders, registration pages, live rooms and evergreen funnels. It works standalone for drafting content, or connected to a WebinarIgnition WordPress site where 71 read, write and destructive tools let an assistant build and run the real webinar with confirmation before anything changes.

Enables AI assistants to perform live Google rankings lookups, checking where a domain ranks for a keyword in a given country and returning the top 10 organic results.

Enables users to find brands that have sponsored creators in a niche within a recent date window, returning deduplicated brand rows and evidence-linked sightings from public YouTube descriptions, podcast show notes, newsletters, event sponsor pages, partnership jobs, and creator programs. It also surfaces public contact routes, promo codes, placement types, and pitch angles, with the work run through Apify.