How to Use the CoinAPI MCP in Google ADK

Q: Can I filter CoinAPI tools in my Google ADK agent?

You can use the toolnames argument in the McpToolset. This restricts the agent to only using specific functions like listexchanges or getlatestquotes.

Bring CoinAPI market feeds into your Google ADK agents running on Vertex AI.

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Connect CoinAPI MCP to Google ADK

Create your Vinkius account to connect CoinAPI 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 CoinAPI with Google ADK

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Fetch live crypto data inside Google ADK

Your Gemini-powered agents can now query crypto exchange rates using `get_specific_rate`. This connects your Google Cloud infrastructure to global crypto liquidity. Simply register the toolset via McpToolset. The ADK maps these functions so your agent can execute them as part of a reasoning chain.

Deep context reasoning with market data

Feed large sets of `get_latest_trades` into Gemini models with 1M+ token windows. Your agent can digest massive market movements to spot anomalies. Because this runs inside the Google ADK, you can combine this data with your existing BigQuery datasets. It is a direct bridge from public markets to your private analytics.

Manage symbols and exchanges via Google ADK

Use `list_symbols` to define the scope of your agent's awareness. You can filter these lists to focus your agent on specific high-volume pairs. This keeps your agent's tool surface area clean. It only interacts with the markets you explicitly authorize it to see.

Setup guide

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

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Common questions about CoinAPI MCP in Google ADK

Install the google-adk package and initialize a McpToolset with your server URL. Add this toolset to your LlmAgent instance to enable the tools.

You can use the tool_names argument in the McpToolset. This restricts the agent to only using specific functions like list_exchanges or get_latest_quotes.

Yes, the server supports standard HTTP transports compatible with your cloud-hosted agents. It allows for consistent data access across your distributed environment.

The data stays within your agent's context. Vinkius ensures the transport is isolated so your market queries remain private to your deployment.

Your data is encrypted in transit through a dedicated Vinkius proxy. No raw market query logs are kept on our servers.

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