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azure-cosmos-db-assistant Plugin

Category
Database
Topics
Databases & Storage · Code Quality, Review & Testing
First seen
2026-07-09
Last confirmed
2026-07-13
Explanation last updated
2026-07-12

The explanation below is AI-generated. Please verify it against the sources.

azure-cosmos-db-assistant is a plugin for Claude Code that gives Claude expertise in Azure Cosmos DB best practices, data modeling, query optimization, and SDK usage. According to the README, it works out of the box with no required environment variables, external services, or auto-running binaries, and installs 73 best-practice rules across 10 categories sourced from the cosmosdb-agent-kit. It also includes a specialized cosmosdb-expert agent and commands for code review and skill regeneration. An optional MCP Toolkit integration can connect Claude Code to a live Azure Cosmos DB account, but this requires a separate deployment and is not required for the plugin to function.

Overview

According to the README, this is a plugin for Claude Code (an Anthropic developer tool) that adds domain expertise for Azure Cosmos DB, rather than a standalone SaaS product. It is installed via the official Anthropic marketplace using the /plugin install command.

What you can do with azure-cosmos-db-assistant

  • Install the plugin via /plugin install azure-cosmos-db-assistant@claude-plugins-official followed by /reload-plugins
  • Use skills covering 73 best-practice rules across 10 categories: data modeling, partition key design, query optimization, SDK patterns, indexing, throughput, global distribution, monitoring, design patterns, and vector search
  • Invoke the specialized cosmosdb-expert agent via /agents cosmosdb-expert for in-depth guidance
  • Run /azure-cosmos-db-assistant:cosmos-review to review code against Cosmos DB best practices
  • Run /azure-cosmos-db-assistant:generate-skills to regenerate skills from the upstream agent-kit
  • Optionally run /azure-cosmos-db-assistant:cosmos-setup to configure the optional MCP Toolkit connection for database operations, schema discovery, and vector search against a live Azure Cosmos DB account
  • Ask example questions such as choosing a partition key for a multi-tenant SaaS app, optimizing a query for lower RU cost, deciding whether to embed or reference related data, and setting up vector search for RAG

Sources

Original description (English)

Expert assistant for Azure Cosmos DB — data modeling, query optimization, performance tuning, and best practices.

History of azure-cosmos-db-assistant

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