MCP on Dylan Watthttps://dylanwatt.com/tags/mcp/Recent content in MCP on Dylan WattHugoen-usThu, 12 Jun 2025 00:00:00 -07005 Essentials for getting the most from Coding Agentshttps://dylanwatt.com/posts/2025-06-12-5-things/Thu, 12 Jun 2025 00:00:00 -0700https://dylanwatt.com/posts/2025-06-12-5-things/<style> div.title h1 { display: none; } </style> <div style="background:rgb(35, 35, 51); padding: 2rem 2rem; position: relative; overflow: hidden;"> <h1 style="color: white; font-size: clamp(2rem, 5vw, 3.5rem); font-weight: 800; line-height: 1.1; margin: 0 0 1rem 0; max-width: 900px;"> 5 Essentials for getting the most from Coding Agents </h1> <p style="color: #9ca3ff; font-size: 1.25rem; margin: 1rem 0 0rem 0; max-width: 600px;"> Spend the time to teach them your Project </p> </div> <p>There are a lot of AI coding agents out there, but they all stall out if you don&rsquo;t tool your codebase for them. There&rsquo;s a ceiling of how effective they can be if they&rsquo;re running in a boilerplate environment, with no customized context or guidance.</p>MCP's Achilles Heelhttps://dylanwatt.com/posts/2025-06-05-mcp-heel/Tue, 03 Jun 2025 00:00:00 -0700https://dylanwatt.com/posts/2025-06-05-mcp-heel/<p>I&rsquo;ve been getting into personalizing Claude desktop for more much more detailed, powerful responses.</p> <p>Model Contect Protocol (MCP), is a way to expose tools (APIs) to an AI agent to get custom data, or do custom actions. The issue is that the request and response are all fully written and read by the LLM, so for large datasets, you&rsquo;re making the LLM your data transport layer as well as an AI.</p>