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How to Use the Classy.org MCP in Google ADK

Feed Classy.org donor metrics directly into Gemini long-context models using the Google ADK.

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Google ADK

Connect Classy.org MCP to Google ADK

Create your Vinkius account to connect Classy.org 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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Analyze large-scale donor campaigns in Gemini

The `list_fundraising_campaigns` tool pulls your entire GoFundMe Pro campaign registry into the Google ADK environment. This allows Gemini's massive context window to ingest thousands of campaign records simultaneously for deep trend analysis. You can feed this raw campaign data directly into Vertex AI pipelines. It makes it simple to spot which fundraising strategies yield the highest average gift sizes without writing complex data parsing scripts.

Connect Classy.org MCP Server data to BigQuery

The `list_donation_transactions` tool extracts live donation histories that you can pipe directly into your Google Cloud databases. Using this MCP Server alongside the ADK lets your enterprise agents join live fundraising metrics with offline customer data. Your agent can query `get_activity_feed` to find immediate donor actions, then write those events straight to BigQuery. This setup keeps your data warehouse updated in real-time as campaigns progress.

Track peer-to-peer team performance

The `list_fundraising_teams` tool retrieves performance metrics for group-led fundraising efforts. Your Gemini agent can compare these team statistics against individual pages pulled via `list_individual_fundraising_pages` to see who drives the most traction. By combining these tools, your agent identifies your most valuable community advocates. It can then draft highly targeted outreach copy based on the specific campaign details retrieved by `get_campaign_details`.

Setup guide

Set up Classy.org 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 Classy.org 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="Classy.org_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Classy.org tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Classy.org. 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 Classy.org MCP in Google ADK

Install google-adk and configure McpToolset using your Vinkius HTTP transport URL. Pass this toolset into your LlmAgent definition to give Gemini access to all eight fundraising tools.
Yes, the ADK supports a tool_names filter in the toolset configuration. You can specify exactly which tools, like list_classy_members, the model is allowed to call.
Yes, it supports both transport layers. Since Vinkius manages the hosting, you will typically use the Streamable HTTP transport to keep your agent serverless and lightweight.
You pass the Classy toolset to an agent backed by a Vertex AI Gemini model. The model reads the tool definitions and decides when to call tools like get_campaign_details based on your prompt.
The MCP integration relies on secure token authentication managed by Vinkius, meaning your Google Cloud environment never stores raw Classy API keys. All member names and email addresses are processed in transient memory and never written to Google's model training logs.

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