How to Use the ChannelApe MCP in Google ADK

Q: Can Google ADK filter which ChannelApe MCP tools are exposed?

Yes. You can use the toolnames filter to restrict the agent. If you only want it checking stock, just expose listapeinventory.

Connect ChannelApe to your enterprise Google ADK agents.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect ChannelApe MCP to Google ADK

Create your Vinkius account to connect ChannelApe 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.

GDPR Free for Subscribers

Setup ChannelApe with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Feed order histories into Google ADK agents

Enterprise ecommerce generates massive transaction logs. You want your Gemini agent to analyze those logs against your existing BigQuery datasets. By calling `list_ape_orders`, the agent pulls recent transactions directly into context. When a specific transaction flags an anomaly, the agent drills down using `get_ape_order_details`. Gemini's massive context window means you can dump hundreds of detailed order payloads into a single prompt for deep analysis.

Analyze stock levels with this MCP Server

Running out of stock costs money. Your Google Cloud agent uses `list_ape_inventory` to check stock levels across all your distribution centers in real time. It then pulls your active storefronts with `list_ape_channels`. You can write an agent script that cross-references low inventory against high-volume channels, predicting stockouts before they happen.

Map your entire product catalog

A smart agent needs to know exactly what you sell and who makes it. The `list_ape_products` tool grabs your entire business catalog. Your system can then match those SKUs to specific vendors using `list_ape_suppliers`. Because this runs through Google ADK, your agent can cross-reference vendor performance with external market data stored in Vertex AI.

Setup guide

Set up ChannelApe 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

Install Google ADK

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

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

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 ChannelApe 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="ChannelApe_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ChannelApe tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ChannelApe. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect ChannelApe now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ChannelApe MCP in Google ADK

Use McpToolset with StreamableHttpServerParameters. Pass the resulting toolset directly to your LlmAgent initialization array.

Yes. You can use the tool_names filter to restrict the agent. If you only want it checking stock, just expose `list_ape_inventory`.

It works perfectly. You can pull massive product catalogs via `list_ape_products` and feed them straight into Gemini's million-token window.

No. The Vinkius endpoint acts as a standard HTTP transport. Your Google ADK agent connects via a single MCP URL without deploying custom cloud functions.

Vinkius isolates every session. Your stock counts and distribution center metrics process inside an ephemeral sandbox. The connection terminates when the session ends, leaving no persistent data behind.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript