How to Use the Azure Cosmos DB Container MCP in OpenAI Agents SDK

Give your production OpenAI Agents SDK pipelines direct, secure access to write and query NoSQL documents using our MCP Server.

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Connect Azure Cosmos DB Container MCP to OpenAI Agents SDK

Create your Vinkius account to connect Azure Cosmos DB Container to OpenAI Agents SDK 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 OpenAI Agents SDK

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Read and write NoSQL data with OpenAI Agents SDK

This MCP Server connects your OpenAI Agents SDK directly to your Cosmos NoSQL store. Your agent can run `create_document` to write new records or `get_document` to fetch them by ID and partition key. Because the SDK handles agent handoffs, you can have one agent fetch the state and another analyze it. The agent discovers these tools natively without manual payload formatting.

Run complex SQL queries within agent workflows

The `query_documents` tool lets your OpenAI Agents SDK run parameterized SQL queries directly against your container. It translates natural language requests into structured queries like "SELECT * FROM c WHERE c.status = @status". This setup bypasses the need for hardcoded database connectors in your application code. Your agent handles the query parameterization, and you monitor the execution costs directly in your OpenAI dashboard.

Safe document removal with built-in guardrails

When an agent needs to clean up stale records, it invokes `delete_document`. You configure your OpenAI Agents SDK guardrails to intercept this call before it hits Azure, ensuring no unauthorized deletions occur. The agent must provide the partition key if your container requires it. This strict requirement prevents accidental cross-partition scans or bulk deletes, keeping your database operations fast and predictable.

Setup guide

Set up Azure Cosmos DB Container MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Azure Cosmos DB Container tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Azure Cosmos DB Container tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Azure Cosmos DB Container tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Azure Cosmos DB Container Agent",
            instructions="You have access to Azure Cosmos DB Container tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Azure Cosmos DB Container MCP in OpenAI Agents SDK

Install the SDK and pass the server URL to the MCPServerStreamableHttp constructor. Register this MCP in your agent's mcp_servers list to enable automatic tool discovery.

Yes, you control this through the SDK's agent initialization settings. You can restrict the agent to only read tools like get_document and block destructive ones.

The agent automatically extracts the partition key from the context to use with get_document or delete_document. This prevents partition scanning errors and keeps queries highly efficient.

No, the agent handles that. It takes natural language and converts it into a clean SQL string for the query_documents tool.

Your Cosmos DB JSON documents flow directly between the Vinkius MCP sandbox and Azure's API endpoints. No data is stored on Vinkius, and transit is fully encrypted.

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