How to Use the Bitso Exchange MCP in Google ADK

Connect your Google ADK agent to Bitso Exchange for instant market data and trade execution.

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Connect Bitso Exchange MCP to Google ADK

Create your Vinkius account to connect Bitso Exchange 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 Bitso Exchange with Google ADK

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Analyze markets using Google ADK

Your agent grabs live ticker data via `get_ticker` to inform its trading strategy. It scans `list_available_books` to see which markets are currently open for action. Since Gemini models handle massive token windows, your agent keeps a long history of market shifts. It uses this context to decide when to move capital.

Manage funding with Google ADK

Need to move funds into your account? Your agent calls `get_funding_destination` to retrieve your crypto address on demand. It also monitors `list_withdrawals` to keep a log of money moving off the exchange. This keeps your Google Cloud environment in sync with your actual balance.

Review trade history via Google ADK

Your agent extracts past executions using `list_trades` or checks specific order details with `list_order_trades`. It turns raw CSV-style data into actionable insights. This makes it easy to reconcile your trading activity inside your existing Google Cloud infrastructure. You have the full record of every trade execution at your fingertips.

Setup guide

Set up Bitso Exchange 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 Bitso Exchange 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="Bitso Exchange_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Bitso Exchange 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 Bitso Exchange. 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 Bitso Exchange MCP in Google ADK

Install the library and use McpToolset to point your agent at the server URL. You can then restrict tool access by passing a list of names to the filter.

Since your agent controls the tool calls, you can write the output of `list_ledger` or `list_trades` straight into your BigQuery tables.

It supports both Stdio and HTTP. For most cloud-hosted agents, the HTTP transport is the most reliable way to maintain the connection.

Absolutely, the model uses the tools to reason about your portfolio. It can handle complex requests like comparing balances across different crypto pairs.

The server uses isolated memory blocks for every request. No other process can read your trade history, and all data is discarded after the tool returns.

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