How to Use the Intrinio MCP in Google ADK

Connect Google ADK agents to Intrinio to run deep quantitative analysis on millions of financial data points with Gemini models.

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Connect Intrinio MCP to Google ADK

Create your Vinkius account to connect Intrinio 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 Intrinio with Google ADK

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Enterprise financial analysis with Google ADK

Combine Gemini's long-context window with live Intrinio financial feeds. By integrating Google ADK with Intrinio, your agents can pull extensive balance sheets via `get_financials` and analyze them alongside your enterprise data in BigQuery. The Google agent can ingest years of historical Intrinio performance without hitting token limits. Setup is straightforward using the Google ADK MCP toolset class. You pass your HTTP transport parameters directly to the toolset and register it with your Google ADK `LlmAgent`, giving your model immediate access to Intrinio tools like `get_company` to build detailed corporate profiles on the fly.

Connect Google ADK to the Intrinio MCP Server

Monitor market shifts directly from your Google Cloud environment. Your Google ADK agents can query Intrinio's `get_earnings_releases` and `get_ipo_calendar` to build dynamic timelines of upcoming market events. This allows your Vertex AI pipelines to trigger automated research tasks whenever an Intrinio-tracked company prepares to report. To avoid flooding your Gemini models with unnecessary tools, Google ADK supports a tool name filter. You can restrict the agent's scope to only expose Intrinio's `get_stock_prices` and `list_news` for specific high-frequency monitoring tasks, keeping execution costs low and responses focused.

Cross-reference index data and stock prices

Run macro-to-micro financial analysis with Google ADK and Intrinio. Your Google ADK agent can use Intrinio's `list_indices` to identify benchmark identifiers, then drill down into individual components using `list_companies`. This structured approach lets your Gemini models compare sector performance against individual stock histories retrieved via Intrinio's `get_stock_prices`. The Google ADK handles the Intrinio MCP transport layer automatically over HTTP. Your Google ADK agent can quickly resolve ambiguous entity names using Intrinio's `search_companies` and get exact exchange details with `get_security` before committing raw data to your BigQuery data lakes.

Setup guide

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

Install the ADK via pip install google-adk and define an MCP toolset pointing to the server URL. Pass this toolset into the tools list when initializing your Google ADK LlmAgent to expose the Intrinio financial endpoints.

Yes, you can use the Google ADK's optional tool name filter when defining your toolset. This lets you restrict access so the Google agent only calls Intrinio's get_stock_prices and list_news, ignoring fundamental data tools.

Vinkius handles the underlying Intrinio API authentication at the gateway level. Your Google ADK agent only needs the single Vinkius endpoint token, keeping your corporate API keys secure.

Yes, the Google ADK supports both transport methods. For cloud-deployed Google agents, the HTTP transport is recommended to maintain persistent connections to the Intrinio financial endpoints.

Your queries for Intrinio stock prices and corporate financials are routed through isolated V8 sandboxes. No data is stored on disk, and Google Cloud integrations maintain strict network isolation to prevent external leakage of your financial queries.

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