How to Use the GivingFuel MCP in Google ADK

Q: Is GivingFuel data compatible with Google ADK long-context reasoning?

Yes. You can feed large lists from listdonationorders into the agent's context window. The agent then analyzes the data against your other cloud resources.

Q: Can I restrict which GivingFuel tools my Google ADK agent uses?

You can use a toolnames filter to limit the server's capabilities. This prevents the agent from accessing tools you want to keep off-limits.

Bring GivingFuel data into your Google ADK pipelines for enterprise-grade fundraising analysis.

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Connect GivingFuel MCP to Google ADK

Create your Vinkius account to connect GivingFuel 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 GivingFuel with Google ADK

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Google ADK integration for GivingFuel

Map your GivingFuel data directly into your Gemini-powered workflows using the McpToolset. Your agent calls `list_donation_orders` and `list_crm_contacts` to build context for complex reasoning tasks. This setup allows your agent to correlate donation trends with external data stored in your Google Cloud infrastructure. It bridges the gap between your fundraising platform and your analytics stack.

Filter GivingFuel records dynamically

Use `filter_orders_by_date` and `filter_orders_by_status` to narrow down transaction lists for specific reporting periods. Your agent performs these queries autonomously, saving you from writing custom API request code. It handles the filtering logic based on the parameters you provide in your prompt. You get relevant, actionable data points rather than raw, unfiltered dumps.

Automate GivingFuel campaign tracking

Monitor your peer-to-peer performance by exposing `list_peer_campaigns` to your agent. It tracks active participant numbers and donation velocity to flag campaigns that need attention. Your agent uses `list_fundraising_pages` to maintain an inventory of all active initiatives. This keeps your team informed on campaign health without manual checks.

Setup guide

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

You instantiate an McpToolset with your server URL. Add this toolset to your LlmAgent configuration to make the tools available to your model.

Yes. You can feed large lists from `list_donation_orders` into the agent's context window. The agent then analyzes the data against your other cloud resources.

You can use a tool_names filter to limit the server's capabilities. This prevents the agent from accessing tools you want to keep off-limits.

The server operates in a zero-trust sandbox. Your GivingFuel credentials never touch the client code directly, and data is scoped to your authorized session.

The server provides contact details and transaction history. It only touches non-sensitive PII required for managing donations and CRM updates.

Use it with your favorite AI tools

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