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MCP

The Model Context Protocol is an open standard for connecting AI applications to tools and data. Instead of a custom integration for every pairing, a tool exposes one MCP server that any compatible client can use. The guides here show it in practice, from connecting agents to marketing tools to driving a site crawler from a chat window.

2 guides on MCP.

Reference Guide · 60 min read

The Complete Guide to AI Agents for Marketing

Parts 1 to 4 explain what agents are and when to use one. Parts 5 to 8 build the first agent end to end. Parts 9 to 13 add five more, from a review reply drafter to a multi-client SEO audit swarm. Parts 14 to 18 cover cost limits, testing, success criteria, production, security and the law, and Part 19 is a checked reading list of 62 resources from Anthropic, OpenAI, Google, IBM, MIT and others. Every agent runs from the public companion repo, offline, for $0: github.com/VenkataPagadalaGIT/marketing-ai-agents.

AI AgentsAgentic AIAI Agents for MarketingMarketing AutomationContext EngineeringPrompt InjectionAI EvaluationMCPOpenRouterPython

Reference Guide · 26 min read

Screaming Frog: The Complete 2026 Guide

A practical, front-to-back walkthrough of the Screaming Frog SEO Spider, version 24. What each part of the tool does, when to use it, and how to configure it so nothing important reports zero because it was never measured. Every screenshot comes from a full walk of the licensed desktop app.

Screaming FrogTechnical SEOSEO AuditSite CrawlerJavaScript RenderingEmbeddingsMCP

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Agentic AIAI AgentsAI Agents for MarketingAI EvaluationContext EngineeringEmbeddingsJavaScript RenderingMarketing Automation
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