<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/489811833b8e4ce2b783626903376545&quot; frameborder=&quot;0&quot; width=&quot;2560&quot; height=&quot;1920&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1920</height><width>2560</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1920</thumbnail_height><thumbnail_width>2560</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/489811833b8e4ce2b783626903376545-e5b73face6f5a3db.gif</thumbnail_url><duration>272.889</duration><title>Exploring the Artefact MCP Server: Revenue Intelligence for AI Assistants</title><description>In this video, I walk you through the Artifact MCP Server, a Python package that enhances AI assistants with revenue intelligence tools. I demonstrate three key features: RFM analysis, which identifies five champion clients driving 75% of our revenue; ICP scoring for a qualified prospect, TechCorp, which scored 11.5; and pipeline health assessment that flags at-risk deals with a health score. These insights are crucial for refining our marketing strategies and sales engagement. I encourage you to explore these tools and consider how they can be integrated into your workflows.</description></oembed>