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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Amazon SQS Queue MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 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.
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
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