Topic: AI & MCP (Page 2)
Practical guides to AI and MCP for marketers: models, agents, integrations, and how to put them to work in real campaigns.
The agentic design stack for non-designers
Updated:The three-layer AI stack that lets marketers ship professional design without a designer.
The Engineeringification of Marketing: Why Every Marketer Needs to Think Like an Engineer
Updated:AI is turning marketing into an engineering discipline. Marketers who think like engineers will win.
What is a Medallion Architecture? Bronze, Silver, Gold Explained for Agentic SEO
Updated:A medallion architecture organises data into bronze, silver, and gold layers of increasing quality and trust. See how the pattern turns raw crawl data into always-on agentic SEO intelligence.
AI Orchestration Tools for Marketers: What Actually Works
Updated:AI orchestration tools and AI agent orchestration tools compared: what exists today for marketers running multiple AI agents in parallel, what's missing, and what to use right now.
Context Engineering: The AI Skill Marketers Actually Need
Context engineering is replacing prompt engineering as the critical AI skill for marketing teams. Learn how to build persistent knowledge systems that compound over time.
Figma MCP Server: Read-Only or Write Access? What Changed in 2026
Updated:The Figma MCP server used to be read-only. It now supports write access via Code to Canvas. Here's exactly what changed and what it means for marketing teams.
Agentic Marketing: The Complete Guide for B2B Teams
Updated:Agentic marketing uses AI agents to plan, execute, and optimise campaigns autonomously. Learn how it works, the KPIs to track, and how to apply it to paid ads, content, and outreach.
Claude Code for Growth Marketing: A Guide for Marketers
Updated:Claude Code for growth marketing: a practical, no-coding-required guide to skills, MCPs, and workflows for marketers.
GitHub MCP Server: Why Marketers Should Care About the World's Biggest Code Platform
Updated:The GitHub MCP Server gives AI agents direct access to repositories, issues, and projects. Here's why that matters for marketers managing websites, docs, and content.
Why We're Betting on MCP (and What Marketers Should Know)
Why we chose MCP over agent skills and custom integrations, and what that means for marketing teams connecting AI to their tools.
AI Marketing Skills: What Marketers Need to Work Effectively with AI Agents
Updated:The AI marketing skills modern marketers need to work effectively with AI agents — plus how to use agent skills to specialise your AI tools and automate repeatable workflows.
Voice Transcription for Marketers: The Best Tools for Hands-Free Content Creation
Updated:A comparison of the best voice-to-text tools for marketers, including VoiceInk, Spokenly, FluidVoice, Wispr Flow, Aqua Voice, Willow, and Sotto. Covers local vs cloud dictation, why cloud accuracy can drift, and how to choose a tool for content creation, email, and everyday marketing tasks.
How Relay.app's MCP Integration Powers Virtual Marketing Analytics Servers
Updated:Learn how Relay.app's MCP integration enables virtual marketing analytics servers that reduce security risks while improving AI agent performance by 40%.
Digital Ocean Spaces MCP Server: An Introduction for Marketers
Updated:Technical guide to the Digital Ocean MCP server and Digital Ocean Spaces for marketing teams. Setup instructions, use cases, pricing comparison, and best practices.
Anthropic Tool Search Explained: BM25, Regex & the Advanced Tool Use Header
Updated:What is Anthropic's Tool Search? A breakdown of the tool_search_tool_bm25 and tool_search_tool_regex variants, the advanced-tool-use-2025-11-20 beta header, and real-world retrieval accuracy testing for marketing workflows.
Google Ads MCP Server: How AI Assistants Talk Directly to Your Campaigns
Updated:Google Ads MCP is Google's official, free, open-source server for connecting Google Ads data to Claude, Gemini and ChatGPT via natural language. How it works, what's changed, and how to set it up.
The Biggest Takeaways from Martech for 2026 (And Why Most Teams Are Still Experimenting)
Updated:Scott Brinker's Martech for 2026 report reveals 90% of teams use AI agents, but only 23% are in production. Here's what marketing directors need to know about context engineering, data quality, and the shift to customer-side AI.
n8n MCP: The Missing Link Between AI Chats and Your Marketing Stack
Updated:Discover how n8n MCP integration eliminates context switching for marketing teams by connecting AI assistants directly to your workflows. Reduce campaign analysis from hours to minutes.
Mintlify vs GitBook: Which documentation platform should you choose?
Updated:Compare Mintlify vs GitBook for developer documentation. Detailed analysis of pricing, features, WYSIWYG editing, and which platform is right for your team.
A Marketer’s Guide to Building AI Automations with Apify MCP
Updated:Unlock AI-driven marketing with apify mcp servers: no-code setup, real-time data, and 1,500+ scrapers to automate insights and lead gen.
Smarter Experimentation for Modern Marketers with VWO MCP
Updated:Boost marketing experimentation with vwo mcp server—manage feature flags and experiments directly in your IDE, cutting context switching.
Amplitude and MCP: Unlocking AI-Powered Insights for Marketers
Updated:amplitude mcp unlocks real-time, data-driven AI insights for marketing—no more toggling between tools or lost context, for faster wins.
Perplexity Search API: Real-Time Web Data for Marketers and Growth Teams
Updated:Unlock real-time web insights with perplexity search api, fuel fresh content, sharper SEO and faster growth at £4 per 1,000 requests.
Firecrawl MCP Server: Pricing, Free Tier & SEO Automation Guide
Updated:Firecrawl MCP Server pricing, free tier limits, and setup for SEO, content, and competitor research automation, plus how it compares to the Firecrawl API.