Uploaded January 2026 | Updated September 2026, 1 week ago
On this episode of Azure Cosmos DB TV, host Mark Brown is joined by Yohan Lasorsa to explore how you can build modern, agent-powered applications on a fully serverless foundation.
This session looks at how a single data platform can support both transactional workloads and AI-driven experiences without adding extra infrastructure or operational complexity. You’ll see how application data, APIs, and AI agents come together in a practical, end-to-end example you can adapt for your own projects.
See how Cosmos DB powers both transactional features and AI-driven experiences without extra infrastructure. We’ll walk through a practical sample: a REST business API for orders, an MCP bridge that lets an agent access business data, and LangChain.js for the agent with chat memory. All on a serverless footprint you can ship quickly!
What we’ll cover in this session:
• Introduce the session with the use case, present the sample and its architecture, and explain where Azure Cosmos DB fits into the overall design.
• Demo of the sample application, followed by a walkthrough of key sections of the codebase.
• Discussion of possible extensions to this use case, including relevant Azure Cosmos DB features you can apply as you scale.
Learn more and explore the resources used in this session:
https://aka.ms/lcjs/agent-mcp
Useful links:
• Azure Cosmos DB TV - https://aka.ms/AzureCosmosDBLiveTV
• Subscribe to Azure Cosmos DB on YouTube - youtube.com/AzureCosmosDB
• Follow Azure Cosmos DB on X - twitter.com/AzureCosmosDB
• Follow Azure Cosmos DB on LinkedIn - linkedin.com/company/azure-cosmos-db
On this episode of Azure Cosmos DB TV, host Mark Brown is joined by Yohan Lasorsa to explore how you can build modern, agent-powered applications on a fully serverless foundation.
This session looks at how a single data platform can support both transactional workloads and AI-driven experiences without adding extra infrastructure or operational complexity. You’ll see how application data, APIs, and AI agents come together in a practical, end-to-end example you can adapt for your own projects.
See how Cosmos DB powers both transactional features and AI-driven experiences without extra infrastructure. We’ll walk through a practical sample: a REST business API for orders, an MCP bridge that lets an agent access business data, and LangChain.js for the agent with chat memory. All on a serverless footprint you can ship quickly!
What we’ll cover in this session:
• Introduce the session with the use case, present the sample and its architecture, and explain where Azure Cosmos DB fits into the overall design.
• Demo of the sample application, followed by a walkthrough of key sections of the codebase.
• Discussion of possible extensions to this use case, including relevant Azure Cosmos DB features you can apply as you scale.
Learn more and explore the resources used in this session:
https://aka.ms/lcjs/agent-mcp
Useful links:
• Azure Cosmos DB TV - https://aka.ms/AzureCosmosDBLiveTV
• Subscribe to Azure Cosmos DB on YouTube - youtube.com/AzureCosmosDB
• Follow Azure Cosmos DB on X - twitter.com/AzureCosmosDB
• Follow Azure Cosmos DB on LinkedIn - linkedin.com/company/azure-cosmos-db
