How to Use the Coinbase MCP in Google ADK

Q: How do I limit which Coinbase tools the Google ADK agent sees?

Use the toolnames filter within your toolset configuration. This restricts the agent to only the functions you choose to expose.

Connect your Google ADK agents to live market data. Build Gemini-powered finance logic using the Coinbase MCP Server.

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Connect Coinbase MCP to Google ADK

Create your Vinkius account to connect Coinbase 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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Setup Coinbase with Google ADK

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Google ADK agents accessing market data

Plug this server into your Google ADK toolset to give your Gemini models access to live crypto prices. Use `get_public_prices` to fetch a basket of assets for your BigQuery analysis. The models process these price streams to inform your enterprise workflows. By routing `get_exchange_rates` through your agent, you maintain accurate conversion calculations for your internal dashboards.

Asset verification in Google ADK

Query `get_currencies` to filter supported assets for your cloud-native pipelines. Your agent confirms precision requirements before passing data to your processing logic. Avoid guessing about market availability. The `get_spot_price` tool gives you the exact mid-market value needed to validate your data pipelines in real-time.

Monitor Coinbase state with Google ADK

Use `get_payment_methods` to track the health of your connected funding sources. Your Google ADK agent alerts you if a verification status changes unexpectedly. Keep your distributed agents synchronized using `get_time`. It ensures your API requests align perfectly with the exchange's current server timestamp.

Setup guide

Set up Coinbase 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 Coinbase 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="Coinbase_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Coinbase tools via MCP.",
    tools=mcp_tools,
)

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

You define a toolset in your agent configuration pointing to the server. Your Gemini agent then selects the relevant price tool based on your prompt.

Yes, the framework supports both Stdio and HTTP transports. You simply pass the server parameters to your toolset definition.

Your agent acts as the bridge. It retrieves the pricing data, which you then pipe into your BigQuery tables for long-term storage and reasoning.

Use the tool_names filter within your toolset configuration. This restricts the agent to only the functions you choose to expose.

Vinkius handles the connection via a secure endpoint token. Your agent only receives the specific payment method metadata requested, and all traffic remains encrypted in transit.

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