How to Use the Donorbox MCP in Google ADK

Q: Can Google ADK filter which Donorbox tools are exposed?

Yes. You can use the optional toolnames filter in your toolset configuration to restrict access to specific tools like quickcampaignperformanceaudit.

Feed Donorbox campaign metrics and donor records directly to your Gemini models using this MCP Server.

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Connect Donorbox MCP to Google ADK

Create your Vinkius account to connect Donorbox 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 Donorbox with Google ADK

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Sync Donorbox campaign data with Google ADK

The `list_fundraising_campaigns` tool pulls all active fundraising configurations directly from your account. Your Gemini agent uses this tool to map current campaigns to your BigQuery data tables. You can then use `get_campaign_details` to extract progress percentages and financial targets. This lets your enterprise pipeline analyze fundraising trends over long horizons.

Analyze donor trends using the Google ADK MCP Server

The `list_registered_donors` tool provides a complete roster of your registered supporters for analysis. Your Python agents can feed this list into Vertex AI models to predict donor lifetime value. To drill down on specific individuals, use `search_donors_by_email` to fetch transaction profiles instantly. This keeps your donor database clean and prevents manual searches in the dashboard.

Audit real-time contribution streams

The `list_latest_contributions` tool exposes the most recent transactions processed by your fundraising platform. Your Google ADK agent monitors this endpoint to trigger automated Slack alerts for major gifts. If you need historical context, the agent calls `list_donorbox_donations` to pull older transaction records. This gives your models the complete picture of giving patterns.

Setup guide

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

Set up a toolset pointing to your Vinkius HTTP endpoint. Pass this toolset directly to your agent to expose all ten tools to your Gemini models via MCP.

Yes. You can use the optional tool_names filter in your toolset configuration to restrict access to specific tools like `quick_campaign_performance_audit`.

No. This setup operates on a polling model using tools like `list_latest_contributions` to pull the latest transaction records on demand.

Your Gemini agent takes advantage of its million-token context window. It can process the entire output of `list_registered_donors` without running out of memory.

Your donor emails, payment histories, and campaign progress data remain entirely within your Google Cloud perimeter. Vinkius executes the MCP Server inside secure, isolated sandboxes with zero persistent storage.

Use it with your favorite AI tools

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