
Sign up to save your podcasts
Or
Following up on our recent conversation about the Model Context Protocol (MCP), Mark and Allen take a step deeper from a developer's perspective. While still in the shallow end, they explore the TypeScript SDK, the MCP Inspector tool, and the Smithery.ai registry to understand how developers define and host MCP servers and tools.
They look at code examples for both local (Standard IO) and potentially remote (Streamable HTTP) server implementations, discussing how tools, resources, and prompts are registered and interact. They also touch on the challenges of configuration, authentication, and the practical messy realities encountered when trying to use MCP tools in clients like Claude Desktop.
This code dive generates more questions than answers about the practical hosting models, configuration complexities, and the vision for MCP in the AI ecosystem. Is it the USBC of AI tools, or more like a 9-pin serial port needing detailed manual setup? Join Mark and Allen as they navigate the current state of MCP code and ponder its future role.
If you have insights into these complexities or are building with MCP, they'd love to hear from you!
00:40 Following up on the previous MCP episode
01:20 Reconsidering MCP's purpose and metaphors
03:25 Practical challenges with clients (like Claude Desktop) and configuration
05:00 Discussing future AI interfaces and app integration
09:15 Understanding Local vs. Remote MCP servers and hosting models
12:10 Comparing MCP setup to early web development (CGI)
13:20 Diving into the MCP TypeScript SDK code (Standard IO, HTTP transports)
23:00 Running a local MCP server and using the Inspector tool
23:50 Code walkthrough: Defining tools, resources, and prompts
31:15 Exploring remote (HTTP) connection options in the Inspector
32:30 Introducing Smithery.ai as a potential MCP registry
33:45 Navigating the Smithery registry and encountering configuration confusion
36:15 Analyzing server source code vs. registry listings - Highlighting discrepancies
44:30 Reflecting on the current practical usability and complexity of MCP
46:10 Analogy: MCP as a serial port vs. USBC
#ModelContextProtocol #MCP #AIDevelopment #DeveloperTools #Programming #TypeScript #APIs #ToolsForAI #LLMTools #TechPodcast #SoftwareDevelopment #TwoVoiceDevs #AI #GenerativeAI #Anthropic #Google #LangChain #Coding #AIAPI
1
11 ratings
Following up on our recent conversation about the Model Context Protocol (MCP), Mark and Allen take a step deeper from a developer's perspective. While still in the shallow end, they explore the TypeScript SDK, the MCP Inspector tool, and the Smithery.ai registry to understand how developers define and host MCP servers and tools.
They look at code examples for both local (Standard IO) and potentially remote (Streamable HTTP) server implementations, discussing how tools, resources, and prompts are registered and interact. They also touch on the challenges of configuration, authentication, and the practical messy realities encountered when trying to use MCP tools in clients like Claude Desktop.
This code dive generates more questions than answers about the practical hosting models, configuration complexities, and the vision for MCP in the AI ecosystem. Is it the USBC of AI tools, or more like a 9-pin serial port needing detailed manual setup? Join Mark and Allen as they navigate the current state of MCP code and ponder its future role.
If you have insights into these complexities or are building with MCP, they'd love to hear from you!
00:40 Following up on the previous MCP episode
01:20 Reconsidering MCP's purpose and metaphors
03:25 Practical challenges with clients (like Claude Desktop) and configuration
05:00 Discussing future AI interfaces and app integration
09:15 Understanding Local vs. Remote MCP servers and hosting models
12:10 Comparing MCP setup to early web development (CGI)
13:20 Diving into the MCP TypeScript SDK code (Standard IO, HTTP transports)
23:00 Running a local MCP server and using the Inspector tool
23:50 Code walkthrough: Defining tools, resources, and prompts
31:15 Exploring remote (HTTP) connection options in the Inspector
32:30 Introducing Smithery.ai as a potential MCP registry
33:45 Navigating the Smithery registry and encountering configuration confusion
36:15 Analyzing server source code vs. registry listings - Highlighting discrepancies
44:30 Reflecting on the current practical usability and complexity of MCP
46:10 Analogy: MCP as a serial port vs. USBC
#ModelContextProtocol #MCP #AIDevelopment #DeveloperTools #Programming #TypeScript #APIs #ToolsForAI #LLMTools #TechPodcast #SoftwareDevelopment #TwoVoiceDevs #AI #GenerativeAI #Anthropic #Google #LangChain #Coding #AIAPI
350 Listeners
3 Listeners