How to Use the Afosto MCP in Google ADK
Connect Afosto to your Google Cloud workflow with the Google Agent Development Kit.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Afosto MCP to Google ADK
Create your Vinkius account to connect Afosto 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.
Correlate Orders with BigQuery Data
The `list_orders` tool pulls recent multi-channel orders directly from Afosto. Your agent gets the raw order data in a structured format. Here's the advantage of Google ADK: your agent can take that Afosto order data and natively cross-reference it with marketing campaign data you have stored in BigQuery. This lets you build agents that attribute sales directly to specific ads.
Analyze Inventory with Gemini Models
Use the `list_inventory` tool to get a complete snapshot of your stock levels across all warehouses from your Afosto account. With Google ADK, you can feed that entire inventory list into a Gemini model with a large context window. This allows your agent to perform complex analysis, like identifying slow-moving stock across your entire network. It's a unique strength of this MCP server when paired with Gemini.
Build Enterprise Agents on Your MCP Server
The `list_customers` and `list_products` tools expose your core Afosto e-commerce data. An agent can use this to build detailed customer profiles or generate product comparison reports. The Google ADK is designed for building agents that live inside your Google Cloud infrastructure. You can deploy an agent that monitors Afosto inventory and automatically triggers a re-ordering workflow in another GCP service.
Set up Afosto 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 Afosto 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="Afosto_agent",
model="gemini-2.0-flash",
instruction="You have access to Afosto 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 Afosto. 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.
Why Choose Vinkius
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Real-time monitoring
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
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lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
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place for every integration
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Common questions about Afosto MCP in Google ADK
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