How to Use the IEX Cloud MCP in Google ADK

Integrate IEX Cloud with Google ADK to power your enterprise agents with live financial data directly in your GCP environment.

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Connect IEX Cloud MCP to Google ADK

Create your Vinkius account to connect IEX Cloud 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 IEX Cloud with Google ADK

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Enterprise financial data for Google ADK

Your agent calls `get_stock_quote` or `get_fx_latest` to pull accurate pricing for your internal models. It avoids the latency of manual data entry by using the MCP Server directly. Everything integrates with your existing Google ADK workflow. Your agents can now reason over live currency and equity data to inform complex business logic.

Historical analysis via Google ADK

Use `get_stock_chart` to feed historical price data into your agent's long-context window. You can also pull `get_treasury_yield` for benchmarking and macro-economic modeling. This setup allows your agent to perform backtesting or trend analysis. It works natively with the Gemini models you run on Google Cloud.

Automated market tracking for Google ADK

Configure your agent to alert you using `get_stock_news` or `get_market_list` when specific tickers hit your criteria. It keeps your dashboard updated with the latest market moves. Your agent handles the polling and filtering. You get the insights delivered as structured data points inside your Google ADK infrastructure.

Setup guide

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

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Common questions about IEX Cloud MCP in Google ADK

Yes, use McpToolset with the StreamableHttpServerParameters class. Point it to your Vinkius server URL and define your toolset in the LlmAgent config.

The server provides rapid response times. You can use the tool_names filter to limit the agent's scope and keep your context window lean.

Absolutely. Since the server runs as a standard MCP endpoint, it connects to any agent framework capable of handling HTTP-based MCP tools.

You need one valid endpoint token from Vinkius. Once authenticated, the connection remains stable within your GCP environment.

The agent accesses public market data like price quotes and financial statements. We ensure your proprietary data remains isolated from the financial feed.

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