How to Use the Double the Donation MCP in Google ADK

Q: How do I configure Double the Donation inside Google ADK?

Install the SDK using pip install google-adk and set up McpToolset with your server URL. Pass this toolset into the tools parameter of your LlmAgent to expose the MCP Server tools.

Q: Can Google ADK filter which Double the Donation tools are exposed?

Yes, you use the optional toolnames filter in the toolset configuration to restrict exposure. For instance, you can limit your customer-facing agent to only run searchcompany and getcompany while hiding admin tools.

Q: How does Double the Donation handle parent-subsidiary company matching with Google ADK?

The agent calls listsubsidiaries when a donor inputs a subsidiary name to find the parent company's matching rules. This guarantees that donations to smaller branches still qualify for the main corporate match program.

Q: Can I retrieve high-level matching statistics?

You use getdashboardstats to fetch high-level metrics directly into your agent workflow. The agent can then format these stats into reports or pipe them into BigQuery for deeper analysis.

Q: How is my organization account data kept secure?

Every request to fetch organization details via getorganization is protected by Vinkius's zero-trust gateway. Your account credentials and API tokens are never exposed to the LLM or stored in plain text.

Fuel your Gemini corporate matching agents with the Google ADK and this MCP Server to turn raw donation data into matched revenue.

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Connect Double the Donation MCP to Google ADK

Create your Vinkius account to connect Double the Donation 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 Double the Donation with Google ADK

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Query corporate match rules with Google ADK

The `get_company` tool pulls specific matching gift rules and guidelines for any verified employer in the database. Your agent combines this with `search_company` to verify if a donor's employer matches their contributions. This setup lets your Gemini model reason over complex corporate policies using its massive context window. You can feed entire policy documents alongside these tool outputs to answer precise donor questions.

Provision and manage accounts with this MCP Server

The `create_organization` tool provisions a new 360MatchPro account programmatically for your sub-organizations or chapters. Your agent updates these settings using `update_organization` as soon as onboarding is complete. Connecting this MCP Server handles the configuration backend while our system manages the setup.

Track campaigns and donation history

The `list_campaigns` tool retrieves active fundraising initiatives to associate with incoming corporate matches. Your agent monitors these matches by calling `list_donations` to track which campaigns yield the highest corporate participation. This data feeds directly into your Google Cloud databases. You get a clear picture of matching trends without manually exporting CSV files.

Setup guide

Set up Double the Donation 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 Double the Donation 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="Double the Donation_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Double the Donation 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 Double the Donation. 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 Double the Donation MCP in Google ADK

Install the SDK using `pip install google-adk` and set up `McpToolset` with your server URL. Pass this toolset into the `tools` parameter of your `LlmAgent` to expose the MCP Server tools.

Yes, you use the optional `tool_names` filter in the toolset configuration to restrict exposure. For instance, you can limit your customer-facing agent to only run `search_company` and `get_company` while hiding admin tools.

The agent calls `list_subsidiaries` when a donor inputs a subsidiary name to find the parent company's matching rules. This guarantees that donations to smaller branches still qualify for the main corporate match program.

You use `get_dashboard_stats` to fetch high-level metrics directly into your agent workflow. The agent can then format these stats into reports or pipe them into BigQuery for deeper analysis.

Every request to fetch organization details via `get_organization` is protected by Vinkius's zero-trust gateway. Your account credentials and API tokens are never exposed to the LLM or stored in plain text.

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