<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Mcp on skulldc</title><link>https://skulldc.net/tags/mcp/</link><description>Recent content in Mcp on skulldc</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 05 Nov 2026 20:26:25 +0000</lastBuildDate><atom:link href="https://skulldc.net/tags/mcp/index.xml" rel="self" type="application/rss+xml"/><item><title>Scenario agent skills bring image, video, audio and 3D generation to coding agents</title><link>https://skulldc.net/2026/11/scenario-agent-skills-bring-image-video-audio-and-3d-generation-to-cod/</link><pubDate>Thu, 05 Nov 2026 20:26:25 +0000</pubDate><guid>https://skulldc.net/2026/11/scenario-agent-skills-bring-image-video-audio-and-3d-generation-to-cod/</guid><description>The scenario-labs/skills repository packages Agent Skills that route generation work through the Scenario MCP server, plus separate expert skills that drive Blender, Maya, ZBrush, Unreal and Unity.</description></item><item><title>NVIDIA Auto Ontology builds a certified semantic layer for text-to-SQL agents</title><link>https://skulldc.net/2026/11/nvidia-auto-ontology-builds-a-certified-semantic-layer-for-text-to-sql/</link><pubDate>Wed, 04 Nov 2026 20:26:21 +0000</pubDate><guid>https://skulldc.net/2026/11/nvidia-auto-ontology-builds-a-certified-semantic-layer-for-text-to-sql/</guid><description>Auto Ontology drafts an ontology from database metadata, has people certify it, and lets agents answer data questions with the SQL and steps attached.</description></item><item><title>ToolSpace builds agent training environments from real MCP tool traces</title><link>https://skulldc.net/2026/11/toolspace-builds-agent-training-environments-from-real-mcp-tool-traces/</link><pubDate>Wed, 04 Nov 2026 10:27:47 +0000</pubDate><guid>https://skulldc.net/2026/11/toolspace-builds-agent-training-environments-from-real-mcp-tool-traces/</guid><description>ToolSpace mines tool dependencies from real MCP execution traces, turns them into environments and checked tasks, and reports large gains for open models on long-horizon tool use.</description></item></channel></rss>