Uploaded January 2026 | Updated September 2026, 1 week ago
On Azure Cosmos DB TV Episode 110, host Mark Brown is joined by Sajeetharan Sinnathurai to explore how the Azure Cosmos DB MCP Toolkit supercharges AI agents with real application data, enabling scalable, enterprise‑ready agentic AI solutions.
In this session, we’ll explore the full toolkit experience , supported capabilities like CRUD operations, schema discovery, text search, and vector querying, and how it enables RAG and agent-driven workflows instantly.
We’ll walk through how the MCP toolkit integrates seamlessly with Microsoft Azure AI Foundry, allowing developers to build production-grade AI agents that can reason over real application data with enterprise security, Entra ID authentication, and minimal code.
By the end of this session, attendees will understand how to deploy, customize, and extend the Azure Cosmos DB MCP Toolkit, how to use it across OSS environments, and how to accelerate AI development with Cosmos DB as the unified data + intelligence layer.
Subscribe to Azure Cosmos DB TV for more deep dives!
Useful links:
• MCP Toolkit GitHub Repository - https://aka.ms/CosmosDB/MCPToolKit
• 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
#AzureCosmosDB #AIAgents #AgenticAI #RAG #VectorSearch #AzureAI #AzureAIFoundry #GenerativeAI #NoSQL #MicrosoftAzure #MCP #ModelContextProtocol #MCPServer
On Azure Cosmos DB TV Episode 110, host Mark Brown is joined by Sajeetharan Sinnathurai to explore how the Azure Cosmos DB MCP Toolkit supercharges AI agents with real application data, enabling scalable, enterprise‑ready agentic AI solutions.
In this session, we’ll explore the full toolkit experience , supported capabilities like CRUD operations, schema discovery, text search, and vector querying, and how it enables RAG and agent-driven workflows instantly.
We’ll walk through how the MCP toolkit integrates seamlessly with Microsoft Azure AI Foundry, allowing developers to build production-grade AI agents that can reason over real application data with enterprise security, Entra ID authentication, and minimal code.
By the end of this session, attendees will understand how to deploy, customize, and extend the Azure Cosmos DB MCP Toolkit, how to use it across OSS environments, and how to accelerate AI development with Cosmos DB as the unified data + intelligence layer.
Subscribe to Azure Cosmos DB TV for more deep dives!
Useful links:
• MCP Toolkit GitHub Repository - https://aka.ms/CosmosDB/MCPToolKit
• 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
#AzureCosmosDB #AIAgents #AgenticAI #RAG #VectorSearch #AzureAI #AzureAIFoundry #GenerativeAI #NoSQL #MicrosoftAzure #MCP #ModelContextProtocol #MCPServer
