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Use Azure Cosmos DB Container with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. 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 y

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Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete Azure Cosmos DB Container capability set.

These are the exact actions your AI can choose when you ask it to work with Azure Cosmos DB Container.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Azure Cosmos DB Container.

  1. 01

    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

  2. 02

    Delete document

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

  3. 03

    Get document

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

  4. 04

    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

Observed, not estimated

837ms average. Fast in production.

Azure Cosmos DB Container is checked daily against the live service.

Daily averagePeak 1017ms
Aug 20Today
Fastest day
680ms
Slowest day
1017ms
14-day trend
Slowing+29%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Azure Cosmos DB Container, so you can see the experience inside your AI.

It does not authenticate your account with Azure Cosmos DB Container. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Azure Cosmos DB Container Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_sR5SFdydHWMVwBi2kmwRkK1Y9eFVwnJ0PxFJe5pj/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Azure Cosmos DB Container capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "azure-cosmos-db-container-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_sR5SFdydHWMVwBi2kmwRkK1Y9eFVwnJ0PxFJe5pj/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Azure Cosmos DB Container owners ask.

  • 01

    Why limit the agent to a single Cosmos Container?

    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.

  • 02

    How do I write Cosmos SQL queries here?

    You don't need to specify the database or container in the query. Just use the standard alias c. For example: SELECT * FROM c WHERE c.isComplete = false. You can also pass parameters securely.

  • 03

    Do I need to handle Partition Keys?

    The query capability automatically enables cross-partition queries to simplify AI workflows. However, for getting, creating, or deleting specific documents, you should provide the partitionKey if your container is configured to require one.

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