How to Use the Brave New Coin MCP in Google ADK

Q: How do I configure Brave New Coin for Google ADK?

Use the McpToolset class and provide the server URL. It supports both Stdio and HTTP transports to match your deployment needs.

Connect Brave New Coin to Google ADK to bring crypto market data into your BigQuery-powered enterprise agent workflows.

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Connect Brave New Coin MCP to Google ADK

Create your Vinkius account to connect Brave New Coin 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 Brave New Coin with Google ADK

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Integrate Brave New Coin into Google ADK pipelines

Call `get_asset` or `get_market` inside your Gemini-driven agents to pull institutional-grade stats. It maps perfectly to your existing Google Cloud infrastructure. Use the `McpToolset` to mount these functions directly. Your agents can now reason over 1M+ tokens of context while pulling fresh market facts on demand.

Volume-weighted pricing for Google ADK agents

Pull the `get_vwap` data point to ground your agent's financial reasoning. It prevents your system from acting on skewed exchange figures. This works seamlessly with your existing BigQuery data. You can compare internal logs against Brave New Coin market data in one unified agent process.

Headless market monitoring with MCP Server

Query `list_markets` to see where assets currently trade across the globe. It gives your agent the visibility it needs to navigate fragmented liquidity. Restrict access using the tool_names filter to keep your agent's focus sharp. You control exactly which endpoints the agent can touch.

Setup guide

Set up Brave New Coin 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 Brave New Coin 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="Brave New Coin_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Brave New Coin tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Brave New Coin MCP in Google ADK

Use the `McpToolset` class and provide the server URL. It supports both Stdio and HTTP transports to match your deployment needs.

The server provides market data which you can join with your BigQuery sets in code. It serves as the external market feed for your internal records.

Vinkius manages the hosting with high uptime. Your agent connects via a dedicated endpoint, ensuring your data flow isn't interrupted.

Absolutely, the data fits right into the Gemini context window. You can pass large historical datasets retrieved via the server to your model.

The server operates in a zero-trust environment. It only handles market-specific tickers and asset IDs, never your proprietary account credentials.

Use it with your favorite AI tools

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

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