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In this video, I walk through how I use MCPs (multi-component prompts) to scale high-quality, personalized outreach — from website crawls to LinkedIn research and prompt creation — all tied into a broader GTM motion. 📌 Timestamps: 00:00 - Intro: What this video covers 00:00 - The goal: Personalized outreach at scale 00:59 - Tools setup and data sources (Firecrawl, LinkedIn, Claude) 01:40 - Crawling the Workflow Company site for positioning data 02:40 - Pulling recent personal LinkedIn posts 03:32 - Building a service offering profile from content 04:07 - Finding a Series A B2B startup CEO to target 05:20 - Creating a personalized LinkedIn outreach angle 06:25 - Extracting engagement stats from target’s posts 07:35 - Writing a personalized LinkedIn DM 09:00 - Finalizing the message: tone, structure, relevance 10:30 - Creating a reusable AI prompt to scale outreach 11:50 - Summary: From 1:1 to 1:many personalization 🧰 Key Tools Used: • Firecrawl MCP – to extract and summarize landing page content • Claude – to analyze posts and generate personalized prompts • LinkedIn MCP – to pull target CEO profiles and engagement data 💡 What You'll Learn: • How to combine your service messaging with buyer research • Building prompts that generate relevant, low-pressure DMs • Turning a 20-minute research process into a scalable outreach system • Using AI and automation to personalize GTM at scale without sounding generic 💬 Drop a comment if you want the prompt I used or if you're experimenting with MCPs too. Always happy to trade notes with other GTM operators. 👇 Subscribe for weekly breakdowns on how I use AI tools like Clay, Attio, AirOps, and Claude in real-world GTM workflows. About Me: I run The Workflow Company (wfco.co), helping B2B GTM teams automate research, outreach, and system design using AI-native tools like Attio, Clay, and AirOps. #MCP #GTMWorkflows #AIOutreach #LinkedInAutomation #Firecrawl #ClaudeAI #Attio #B2BSaaS #WorkflowEngineering