{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Technology Explorations in Data & AI","title":"MCP 101: The Model Context Protocol for AI Agents","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/9792f499\"></iframe>","width":"100%","height":180,"duration":2047,"description":"In this conversation, Jonny Daenen and Pierre Crochelet explore the Model Context Protocol (MCP), a framework that enhances AI assistants by allowing them to perform various tasks through tools, resources, and prompts. \nThey discuss the architecture of MCP, how to build an MCP server, and the developer flow for creating tools. The conversation also touches on the compatibility of MCP with different AI agents and the user experience, highlighting both the potential and limitations of the protocol.\n\nResources:\nDemo code: https://github.com/datamindedbe/demo-technology-exploration/tree/main/demos/claude_mcp\nMCP servers: https://github.com/modelcontextprotocol/servers\nMCP directory: https://mcp.so/\n\nFull playlist: https://www.youtube.com/playlist?list=PLJ_da7qdfL80rA7byzC_CmyrfJWjcCTnb\n\nChapters:\nData & AI: Technology Explorations is a biweekly show from Dataminded. Each episode a Dataminded engineer demos a tool or technique worth knowing about -- working code, honest takes, no hype.\nMusic by Aleksandr Karabanov from Pixabay","thumbnail_url":"https://img.transistorcdn.com/V80li3FBtt4YhR0iCe1L51ztsp3FXGLNxn2afnWepIo/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81YThj/NTg4YjJhMjNmMWYz/ZGVmMWE2ZWNkYTgz/MzI4ZC5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}