"How to deploy Docker on a server through SSH" matching MCP servers:

An MCP server exposing every documented Email on Acid API v5 request as a tool — 24 tools across authentication, email client lists, email rendering testing, and spam testing.

Enables AI assistants to browse a print-on-demand catalogue, create campaigns with custom designs, quote and place unpaid orders, and track shipments through OAuth-authenticated MCP tools.

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.

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.

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

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.

Enables MCP clients to read Google Analytics 4 data, deployed as a Cloudflare Worker with service account authentication.

An MCP server that provides AI assistants with access to the FirstPromoter affiliate management platform for managing referrals, promoters, campaigns, and commissions. It is designed for remote multi-user deployment and supports operations via HTTP/SSE transport.

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.

Advanced content gap analysis using Query Decomposition and Keyword Fan-Out (Google's patented methodology). Tells you exactly what user queries your content covers - and what it misses. Built on academic research because I needed to understand how AI search engines actually evaluate content.

Open-source MCP server for Bisibility, providing tools for keyword rank tracking, SERP history, keyword research, backlinks, alerts, reports, and project management. Runs locally through npm or Docker and connects to Bisibility Cloud or a self-hosted instance.

A joke/demo Model Context Protocol server that injects cringe-worthy advertisements into LLM responses, showcasing both how to build MCP servers and the risks of ad-injecting intermediaries.

MCP server built into Autonnel, an open-source funnel builder for e-commerce. Served over HTTP at /api/mcp on your own deploy with a scoped API key, it lets agents read and write funnels, pages, media and orders.

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 an agent to reverse engineer how any product is distributed from a single URL, returning an evidence-cited scorecard, per-community verdicts on where promotion is allowed (channel, mine, gated, closed, unknown), and a deterministic 7/30-day plan. It also exposes the underlying evidence, content, playbooks, run comparison, and report validation as callable tools and named prompts.

A remote Model Context Protocol server developed by Inxy.ai that lets any AI agent — Claude, ChatGPT, Cursor, and others — audit a website or Shopify store for AEO / GEO / LLMO readiness: how likely ChatGPT, Claude, Perplexity, and Google AI are to cite it.

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

This MCP server replicates how a creative strategist gathers context by expanding queries and performing hybrid search against a Google Drive knowledge base, delivering structured, role-categorized context for ad copy and creative briefs.

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.

Make AIs recommend your business. Measures how AI assistants answer the questions your market asks, which sources they cite, and gives the levers to shape those answers. 43 tools on a hosted Streamable HTTP endpoint at https://mcp.epovest.com/mcp

Acts as a persistent log of ad creative reviews. Stores each review's ad name, funnel stage, score, media link, and full review text so agents can look back at how past creatives were scored.

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

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.

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.