How to Use the FundraisingBox MCP in Google ADK

Q: How do I configure the FundraisingBox MCP Server with the Google ADK?

You set up the toolset using McpToolset with your Vinkius server URL in your Python environment. Pass this toolset to your LlmAgent to give your Gemini models direct access to tools like listcampaigns and getdashboard.

Q: Can my Google ADK agent analyze recurring donations from FundraisingBox?

Yes, your agent can call listrecurringdonations to pull active subscriptions and analyze retention rates. This data can be processed within Gemini's long-context window to forecast your organization's monthly recurring revenue.

Q: Does the Google ADK support filtering tools from the FundraisingBox server?

Yes, you can use the toolnames filter when initializing your toolset to expose only the endpoints your agent needs. For example, you can limit access to this MCP Server so that an agent only calls searchdonors and getdonor while hiding financial tools.

Build enterprise-grade agents using the Google ADK to analyze FundraisingBox donor trends with this MCP Server.

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Connect FundraisingBox MCP to Google ADK

Create your Vinkius account to connect FundraisingBox 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 FundraisingBox with Google ADK

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Analyze FundraisingBox donor trends with Gemini and BigQuery

Enterprise nonprofits can feed deep FundraisingBox donor histories directly into Gemini using `get_donor_history` and `list_donors`. Your Google ADK agent pulls raw records and matches them with your existing warehouse data. This lets you run predictive models on donor behavior without manual data exports. You can combine live CRM data with historical campaign records retrieved via `list_campaigns`. Because the ADK is built for the Google Cloud stack, you can easily pipe these FundraisingBox results into BigQuery. Your Gemini agent can then run complex queries to find which donor profiles are most likely to increase their annual giving.

Monitor FundraisingBox campaigns using this MCP Server

Managing thousands of active FundraisingBox donation pages requires real-time monitoring via `list_forms`. This MCP Server lets your Gemini agents check the performance of specific donation forms. The Google ADK agent can identify low-performing pages and recommend updates based on live transaction trends. When running large-scale fundraising drives, you can track performance on the fly with `get_dashboard`. Your Google ADK agent pulls the latest transaction summaries and compares them against historical benchmarks. This lets you adjust your marketing spend on Google Ads based on actual incoming FundraisingBox revenue.

Reconcile FundraisingBox donations on Google Cloud

Reconciling thousands of individual FundraisingBox transactions with bank records is easier when pulling lists via `list_donations_by_project`. Your Google ADK agent can automate this by matching these transaction lists against incoming bank feeds. The agent flags discrepancies for your finance team to review. If a specific transaction requires closer inspection, the Gemini agent calls `get_donation` to retrieve the full metadata. You can also generate and verify official documentation using `list_receipts`. This automation ensures your FundraisingBox records remain accurate and compliant with local tax regulations.

Setup guide

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

You set up the toolset using `McpToolset` with your Vinkius server URL in your Python environment. Pass this toolset to your `LlmAgent` to give your Gemini models direct access to tools like `list_campaigns` and `get_dashboard`.

Yes, your agent can call `list_recurring_donations` to pull active subscriptions and analyze retention rates. This data can be processed within Gemini's long-context window to forecast your organization's monthly recurring revenue.

Yes, you can use the `tool_names` filter when initializing your toolset to expose only the endpoints your agent needs. For example, you can limit access to this MCP Server so that an agent only calls `search_donors` and `get_donor` while hiding financial tools.

Gemini's advanced reasoning capabilities allow it to plan multi-step operations, like calling `list_donations` to find recent transactions, then calling `get_donor` for each contributor to build a detailed report.

Your donation receipts, donor profiles, and transaction metadata are protected by enterprise-grade transit encryption. The integration runs within secure Vinkius V8 sandboxes, ensuring that sensitive CRM data is never stored on Google's model training servers or exposed to unauthorized parties.

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