<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>MCP on Brad's Blog</title><link>https://blog.bjdean.id.au/tags/mcp/</link><description>Recent content in MCP on Brad's Blog</description><generator>Hugo -- 0.152.2</generator><language>en-au</language><copyright>Bradley Dean</copyright><lastBuildDate>Mon, 16 Jun 2025 15:40:33 +0000</lastBuildDate><atom:link href="https://blog.bjdean.id.au/tags/mcp/index.xml" rel="self" type="application/rss+xml"/><item><title>Project-Based MCP: Targeted on-demand AI Integration</title><link>https://blog.bjdean.id.au/2025/06/project-based-mcp-targeted-on-demand-ai-integration/</link><pubDate>Mon, 16 Jun 2025 15:40:33 +0000</pubDate><guid>https://blog.bjdean.id.au/2025/06/project-based-mcp-targeted-on-demand-ai-integration/</guid><description>&lt;h1&gt;&lt;/h1&gt;
&lt;p&gt;Modern AI assistants are incredibly powerful, but they often lack the specific context needed to be truly effective on your projects. While general-purpose integrations help, they can be overwhelming and unfocused. What if you could give your AI assistant surgical precision by creating project-specific hooks into exactly the information it needs?&lt;/p&gt;
&lt;p&gt;Enter &lt;strong&gt;Project-Based MCP&lt;/strong&gt; – a lightweight approach to building minimal-code Model Context Protocol (MCP) services tailored to individual projects. Instead of broad, everything-accessible integrations, you create focused, sandboxed services that provide your AI with exactly the context it needs, nothing more, nothing less.&lt;/p&gt;</description></item></channel></rss>