How to Use the DecileHub MCP in Google ADK

Q: How do I combine DecileHub data with BigQuery in Google Cloud?

Your agent can fetch fund details using listcompaniesbyfund and write the structured JSON response directly to a BigQuery table. This lets you merge external venture metrics with your internal cloud database.

Feed deep venture fund metrics directly into your Gemini models using Google ADK and DecileHub.

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Connect DecileHub MCP to Google ADK

Create your Vinkius account to connect DecileHub 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 DecileHub with Google ADK

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Long-context LP analysis with Gemini and Google ADK

Feed massive LP histories and filing reports directly into Gemini's million-token context window. By calling `list_investors` and `get_investor` through this MCP Server, your agent can analyze decades of investor behavior in a single turn. The ADK lets you pipe this retrieved venture data directly into BigQuery or Vertex AI pipelines. Your enterprise agents can cross-reference LP commitments with your internal cloud data warehouses instantly.

Enterprise-grade portfolio tracking via Google ADK

Track company health across your entire venture portfolio without manual exports. Your Gemini-powered agent uses `list_portfolio_companies` and `get_company` to pull live details, comparing them against your Vertex AI predictive models. You can restrict tool access using the ADK's `tool_names` filter to expose only specific endpoints like `list_valuations`. This ensures your enterprise agent only interacts with the exact financial data it needs to do its job.

Automated filing extraction and fund audits

Auditing venture funds requires digging through mountains of paperwork. Your Google ADK agent calls `list_filings` and `get_filing_report` over our MCP Server to pull SEC documents, then uses Gemini's reasoning to extract key clauses. The agent maps these clauses back to fund performance metrics retrieved via `get_fund_performance`. This keeps your investment records accurate and fully audited inside your Google Cloud environment.

Setup guide

Set up DecileHub 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 DecileHub 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="DecileHub_agent",
    model="gemini-2.0-flash",
    instruction="You have access to DecileHub 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 Decile Hub. 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 DecileHub MCP in Google ADK

You initialize the toolset in Python using McpToolset with your Vinkius HTTP URL. Then, pass this toolset object directly to your LlmAgent to instantly expose tools like list_funds.

Yes, Gemini's long-context window easily handles the raw text returned by get_filing_report. The ADK passes the document directly to the model, allowing you to ask complex questions about fund compliance.

Yes, though for production enterprise setups on Google Cloud, we recommend the HTTP transport. This lets your cloud-hosted agents query get_fund securely without local terminal dependencies using this MCP Server setup.

Your agent can fetch fund details using list_companies_by_fund and write the structured JSON response directly to a BigQuery table. This lets you merge external venture metrics with your internal cloud database.

Your valuation records, SEC filings, and LP details are queried through an ephemeral, zero-trust connection. Vinkius manages the authentication tokens, ensuring your raw database secrets are never exposed to the Gemini model or stored on Google Cloud.

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