Azure Cosmos DB Container MCP Server for Google ADKGive Google ADK instant access to 4 tools to Create Document, Delete Document, Get Document, and more

Name: Azure Cosmos DB Container
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

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Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Azure Cosmos DB Container as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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The Azure Cosmos DB Container MCP Server for Google ADK is a standout in the Industry Titans category — giving your AI agent 4 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="azure_cosmos_db_container_agent",
    instruction=(
        "You help users interact with Azure Cosmos DB Container "
        "using 4 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Azure Cosmos DB Container MCP Server

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.

Google ADK natively supports Azure Cosmos DB Container as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 4 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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.

The Azure Cosmos DB Container MCP Server exposes 4 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 4 Azure Cosmos DB Container tools available for Google ADK

When Google ADK connects to Azure Cosmos DB Container through Vinkius, your AI agent gets direct access to every tool listed below — spanning nosql, document-database, data-storage, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create document on Azure Cosmos DB Container

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

delete

Delete document on Azure Cosmos DB Container

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

get

Get document on Azure Cosmos DB Container

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

query

Query documents on Azure Cosmos DB Container

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

Connect Azure Cosmos DB Container to Google ADK via MCP

Follow these steps to wire Azure Cosmos DB Container into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 4 tools from Azure Cosmos DB Container via MCP

Why Use Google ADK with the Azure Cosmos DB Container MCP Server

Google ADK provides unique advantages when paired with Azure Cosmos DB Container through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Azure Cosmos DB Container

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Azure Cosmos DB Container tools with BigQuery, Vertex AI, and Cloud Functions

Azure Cosmos DB Container + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Azure Cosmos DB Container MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Azure Cosmos DB Container and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Azure Cosmos DB Container tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Azure Cosmos DB Container regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Azure Cosmos DB Container

Example Prompts for Azure Cosmos DB Container in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Azure Cosmos DB Container immediately.

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

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

"Delete the document with id 'old_report_456'."

Troubleshooting Azure Cosmos DB Container MCP Server with Google ADK

Common issues when connecting Azure Cosmos DB Container to Google ADK through Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Azure Cosmos DB Container + Google ADK FAQ

Common questions about integrating Azure Cosmos DB Container MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.