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The Azure Cosmos DB Agent Kit is an open-source collection of skills that teaches your AI coding assistant (GitHub Copilot, Claude Code, Gemini CLI) expert-level Azure Cosmos DB best practices. Install with one command, get production-ready guidance instantly. The Challenge Every Azure Cosmos DB Developer Faces You're building a new applicatio...

A hands‑on walkthrough of building MCP servers that can plug AI applications into Azure Cosmos DB The Model Context Protocol (MCP) has established itself as the ubiquitous standard for connecting AI applications to external systems. Since its release, there have been implementations across various programming languages and frameworks, enab...

Editor's note (May 2026): This article was published in the Azure Cosmos DB Dev Blog before the launch of the dedicated Azure DocumentDB Dev Blog. Azure DocumentDB now has its own home for product announcements, engineering insights, migration guidance, technical deep dives, and developer tutorials. If you're building with Azure DocumentDB or the o...

We’re excited to announce the Azure Cosmos DB SRE Agent built on Azure SRE Agent; a new capability designed to simplify troubleshooting and improve reliability for your applications running on Azure Cosmos DB. Some key features of Azure Cosmos DB SRE Agent are:  Benefits of using Azure Cosmos DB SRE Agent Managing distributed a...

Microsoft Ignite 2025 kicked off with a wave of announcements for Azure Cosmos DB and Azure DocumentDB, setting the tone for a week of innovation in cloud databases and AI. Here’s your one-stop summary of everything unveiled—and what to watch for in the sessions ahead. Major Azure Cosmos DB announcements from Ignite 2025 Azure DocumentDB now ...

We're excited to announce the Azure Cosmos DB MCP Toolkit in public preview. This open-source implementation of the Model Context Protocol (MCP) gives AI agents and LLMs direct, secure access to Azure Cosmos DB. The toolkit bridges intelligent applications and globally distributed databases, enabling AI agents to query, search, and understand data ...

We’re excited to introduce new capabilities and performance improvements for vector and full-text search in Azure Cosmos DB. These updates make it easier for developers and architects to build semantic search experiences and generative AI applications on the world’s most scalable NoSQL database. Note: These new capabilities are actively rolling ...

This article is authored by Gurvinder Singh, Principal Cloud Engineer at The Kraft Heinz Company. ICYMI: Hear how Kraft Heinz built an AI-powered data lineage solution leveraging Azure DocumentDB hybrid search and graph querying capabilities - watch the Ignite session here: Move fast, save more with MongoDB-compatible workloads on DocumentDB...

Reducing latency by 50% and scaling intelligent CX for SMBs This article was co-authored by Sergey Galchenko, Chief Technology Officer, IntelePeer, and Subhash Ramamoorthi, Director, IntelePeer AI Hub. ICYMI: Discover how IntelePeer enhances agent intelligence and powers their multi-agent applications - watch the Ignite session here: From D...

Unlock 360° Success with the Cosmos DB Engineering Team Are you ready to elevate your cloud data practice and drive innovation for your customers? The Azure Cosmos DB Partner Acceleration Program—spearheaded by the Cosmos DB Engineering Team—offers a unique, end-to-end journey for partners. This initiative is designed to empower, upskill, and acce...