The Flow AI Podcast

On this episode of The Flow, we dive into the rapidly evolving world of MCPJam with CEO Prathmesh Patel to explore one of the biggest hidden challenges in modern AI agent systems: token bloat. As MCP servers connect LLMs to tools, APIs, and databases, developers are discovering that not all MCP servers are created equal. Some are engineered efficiently, while others expose massive schemas, bloated responses, and poorly scoped tools that quietly consume huge amounts of context and drive up cost, latency, and agent instability.We unpack how MCPJam helps developers visualize and debug these issues through tool tracing, response inspection, and token analysis, while sharing practical strategies for building leaner, faster, and more reliable AI agent systems.

If you're a developer working on or with MCP, this episode is for you.

Check it out here:MCPJam - https://www.mcpjam.comOpenRAG - https://www.openr.ag

In this episode of "The Flow," hosts David Jones-Gilardi and Roy Derks welcome Chris Maddock from Unstructured. The conversation explores the impact of AI-powered pipelines on data preparation, the evolution of Unstructured's platform, and its integration with AI and enterprise systems. Chris shares insights into his coding journey, the challenges of document processing, and the innovative features that make data transformation more efficient.

In this episode of The Flow, host David Jones-Gilardi is joined by Ruben Casas and Roy Derks to discuss the evolution of Postman, the importance of APIs in AI, and the rise of MCP apps. They explore Ruben's early coding experiences, the integration of AI with APIs, and the future of user interaction through generative UI. The conversation also touches on security concerns in AI applications, the differences between MCP and CLI approaches, and the potential for collaboration between AI and users. Demos of MCP apps showcase the exciting possibilities for developers and enterprises alike.

In this holiday episode of The Flow, hosts David Jones-Gilardi and Carter Rabasa welcome Mihai Criveti, a distinguished engineer at IBM, to discuss MCP Context Forge. The conversation covers Mihai's early programming experiences, the rapid adoption of MCP, and the features of Context Forge that simplify the integration of AI tools. They delve into the differences between A2A and MCP protocols, the importance of plugins for security, and the observability features that enhance performance monitoring. The episode concludes with insights into the future of AI development and the open-source nature of MCP Context Forge.

In this episode of "The Flow", hosts David Jones-Gilardi and Carter Rabasa are joined by Max Gerber, product engineer at Stytch. The discussion delves into the integration of security in AI applications, focusing on OAuth and MCP servers. Max shares his experiences with coding, the evolution of OAuth, and the role of Stytch in enhancing secure data access for AI agents.

If you are curious about the security landscape for AI and MCP, don't miss this one.

Resources:
https://stytch.com/docs/guides/connected-apps/overview - Product docs
https://github.com/stytchauth/stytch-b2b-mcp-demo - Code
https://www.notelydemo.com/mcp - live product demo