April 14th, 2025 × #ai#mcp#chatgpt#llm
This episode discusses the Machine Context Protocol (MCP), which is a standardized protocol that allows large language models (LLMs) like ChatGPT to communicate with and control other applications and services. They talk about what MCP is, why it's useful, some examples of MCP servers, and how you can build your own MCP tools.
Wes Bos Host
Scott Tolinski Host
Scott and Wes break down the Model Context Protocol (MCP), a new open standard that gives AI agents secure, tool-like access to your dev environment. They cover how it works, why it's a big deal for AI coding workflows, and real-world use cases like GitHub, Sentry, and YouTube.
Show Notes
- 00:00 Welcome to Syntax!
- 00:49 The lore of ICP.
- 03:09 Brought to you by Sentry.io.
- 03:33 What is MCP?
- 05:06 The steps of AI coding.
- 07:11 MCP hosts.
- 07:28 MCP clients.
- 07:35 MCP servers.
- 08:24 Why you might want to do this.
- 10:39 How this works in VS Code.
- 14:10 Wes built an MCP server.
- SVGL.
- 14:57 Playwright.
- 17:24 Sentry's implementation.
- 18:54 YouTube implementation.
- 21:19 DaVinci Resolve implementation.
- 23:02 Postgres.
- 24:40 Transport protocols.
- 24:49 STDIO.
- 25:19 SSE.
- 25:32 Streaming.
- 26:24 Writing you own MCP server.
- 26:28 FastMCP.
- 27:00 Cloudflare.
- 28:01 Data validation.
- 28:47 Standard schema.
- 29:27 Other parts of MCP.
- 29:35 MCP resources.
- 30:37 MCP prompts.
- 30:48 MCP roots.
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