MCP For Claude Marketplace
Azure Cosmos DB Container

Azure Cosmos DB Container MCP Connector for Claude

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This MCP does exactly one thing: it manages documents in a single Azure Cosmos DB Container. That's its only function, and nothing else. Incredible for giving your AI a secure NoSQL database.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This server strips away dangerous global Azure permissions. It gives your AI agent one surgical superpower: the ability to query, insert, and update documents inside one specific Cosmos DB Container.

By strictly scoping access, your AI can safely manage structured data, store chat histories, and process complex NoSQL queries without ever touching your critical cloud databases.

The Superpowers

  • Absolute Containment: The agent is locked to a single container. It cannot list other databases or drop your production data.
  • Native Cosmos DB Integration: Direct interactions with Cosmos DB, supporting rich SQL queries and partition management.
  • Plug & Play Database: Instantly gives your agent a scalable NoSQL database to store structured memories and application state.
nosqldocument-databasedata-storagescoped-accesscloud-databasejson-storage

4 tools expose this connector's capabilities to your AI agent.

query_documents

You can optionally provide parameters in JSON format. Do not include the DB or Container name in the query, Cosmos expects queries like "SELECT * FROM c WHERE c.status = @status". Execute a SQL query against the configured Cosmos DB Container

delete_document

Provide partitionKey if your container requires it. Delete a document from the Cosmos DB Container

get_document

Provide partitionKey if your container requires it. Retrieve a specific document by its ID

create_document

Make sure to provide the ID and Partition Key properties inside the documentJson if required. Create a new document in the Cosmos DB Container

See how to talk to your AI agent using Azure Cosmos DB Container.

Query the database for all documents where 'status' is 'pending'.

I executed `SELECT * FROM c WHERE c.status = 'pending'`. I found 12 pending documents.

Create a new document with id 'user_123' and name 'John Doe'.

The document was successfully created in the Cosmos DB container.

Delete the document with id 'old_report_456'.

I have permanently deleted the document 'old_report_456' from the database.

To enforce zero-trust security. An autonomous AI agent should not have the ability to read or delete data across your entire Cosmos DB Account (which might include user passwords, financial records, etc.). By scoping it to a single container, you eliminate the risk of catastrophic data loss.

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