How to Use the Azure Cosmos DB Container MCP in Claude Code

Headless database ops for Claude Code. Connect your Azure Cosmos DB Container and run SQL tasks from your terminal.

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Connect Azure Cosmos DB Container MCP to Claude Code

Create your Vinkius account to connect Azure Cosmos DB Container to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Azure Cosmos DB Container with Claude Code

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Claude

Perplexity

Claude Code runs SQL against your data

Use `query_documents` in your terminal to fetch records without opening a GUI. It returns the JSON results directly to your shell. This is perfect for scripts that need to verify data state. You get the output piped right where you need it.

Automate document lifecycle in Claude Code

The `create_document` tool allows your CI/CD pipelines to seed data automatically. It takes your JSON payload and ensures it lands in the right partition. It keeps your integration tests consistent. You don't have to manually push data between runs.

Terminal-based management for this MCP Server

Use `delete_document` or `get_document` to manage individual records from your CLI. It’s efficient for quick debugging during an incident. Every tool is ready to be called by your shell scripts. No extra overhead.

Setup guide

Set up Azure Cosmos DB Container MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see azure-cosmos-db-container-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Azure Cosmos DB Container transactions." It will automatically discover and invoke the available Azure Cosmos DB Container tools.

Terminal

claude mcp add --transport http azure-cosmos-db-container-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Azure Cosmos DB Container MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "azure-cosmos-db-container-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Azure Cosmos DB Container. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Azure Cosmos DB Container MCP in Claude Code

Yes, just use the add command in your terminal. It supports HTTP transport, allowing your CLI agent to talk to your database.

It does. You can pipe the query output directly into other CLI tools. It treats your database as just another command-line utility.

It is built for that. You can automate data cleanup and verification in your pipelines using these four tools.

Run the list command to check your active connections. It confirms the server is reachable and ready to execute your commands.

We enforce strict isolation for every request. Your JSON document payloads are processed through a memory-only sandbox that terminates immediately after each operation.

Use it with your favorite AI tools

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