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How to Use the Amazon SQS Queue MCP in Google ADK

Connect your Google ADK enterprise agents to an Amazon SQS Queue to process massive data payloads with Gemini.

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Google ADK

Connect Amazon SQS Queue MCP to Google ADK

Create your Vinkius account to connect Amazon SQS Queue to Google ADK 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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Ingesting Amazon SQS Queue payloads into Google ADK

The `receive_messages` tool pulls payloads from your Amazon SQS Queue directly into the Google ADK environment using this MCP. You can write the retrieved Amazon SQS Queue data directly into BigQuery or trigger Google ADK pipelines for deep analysis.

Acknowledging Amazon SQS Queue tasks inside Google ADK

Clearing processed items is handled by the `delete_message` tool using receipt handles managed by your Google ADK agent on the Amazon SQS Queue. This mechanism ensures your Google ADK agent never deletes an Amazon SQS Queue message until the data pipeline writes the final output.

Queuing backend jobs via Google ADK MCP Server

The `send_message` tool lets your Google ADK agent write operational logs or trigger payloads back to the Amazon SQS Queue. This MCP Server setup bypasses custom AWS coding, letting your Google ADK agent write to the Amazon SQS Queue using standard tool calls.

Setup guide

Set up Amazon SQS Queue MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Amazon SQS Queue tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Amazon SQS Queue_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Amazon SQS Queue tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Amazon SQS Queue. 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 Amazon SQS Queue MCP in Google ADK

You do not need to expose Amazon SQS Queue credentials to Google ADK because Vinkius manages the handshake via an MCP endpoint.
Yes, your Google ADK agent uses `receive_messages` to pull multiple Amazon SQS Queue payloads in a single call.
If the `delete_message` tool call fails, the Google ADK runtime raises an error so your agent can retry the Amazon SQS Queue operation.
Yes, you can use the tool_names filter to limit which Amazon SQS Queue operations are available to your Google ADK agent.
Your Amazon SQS Queue payload data is processed in ephemeral V8 isolates, ensuring no message content is cached before reaching Google ADK.

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