How to Use the Classy.org MCP in OpenAI Agents SDK

Run production-grade OpenAI Agents SDK workflows that directly query Classy.org fundraising data with built-in guardrails.

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Connect Classy.org MCP to OpenAI Agents SDK

Create your Vinkius account to connect Classy.org to OpenAI Agents SDK 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 Classy.org with OpenAI Agents SDK

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Track donor activity in real-time

The `get_activity_feed` tool pulls live transaction and registration updates directly into your OpenAI Agents SDK runtime. This lets your agent monitor donor behaviors as they happen, feeding fresh interaction data straight into your custom tracing dashboards. You can route these events to specialized agents that handle donor relations or flag high-value contributions. Because the SDK handles safe handoffs, one agent can inspect the feed while another prepares a personalized email draft based on the donor's history.

Audit fundraising campaigns with OpenAI Agents SDK

The `get_campaign_details` tool retrieves deep configuration and progress metrics for specific GoFundMe Pro campaigns. Your agent uses this data to evaluate run-rate, target goals, and active timelines without requiring manual CSV exports. By registering this MCP Server in your `Agent` constructor, the system auto-discovers how to pull both campaign structures and active team configurations via `list_fundraising_teams`. The built-in guardrails ensure your agent verifies the campaign status before executing any external API calls.

Map donor networks and transaction histories

The `list_donation_transactions` tool exposes complete transaction records to your agent for instant financial reconciliation. Combine this with `list_classy_members` to build a complete profile of who is donating and how often they participate. Your agent can cross-reference these lists to spot recurring supporters or identify inactive peer-to-peer pages via `list_individual_fundraising_pages`. This MCP integration keeps your production system clean, running behind secure guardrails that prevent unauthorized data modifications.

Setup guide

Set up Classy.org MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Classy.org tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Classy.org tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Classy.org tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Classy.org Agent",
            instructions="You have access to Classy.org tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 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 OpenAI Agents SDK

Install openai-agents and initialize the server using MCPServerStreamableHttp with your Vinkius endpoint. Pass this instance in the mcp_servers list when creating your Agent. The SDK auto-discovers all eight Classy tools instantly.

Yes, you can control tool exposure at the agent constructor level. If you only want a specific agent to see donor lists, pass it a restricted tool configuration while reserving transaction tools for your finance agent.

The SDK lets you define validation hooks that intercept agent decisions before they execute tools like list_donation_transactions. This prevents your agent from making erratic API calls or pulling sensitive member data without explicit system approval.

Enabling this parameter stops the SDK from repeatedly querying the Vinkius endpoint for the tool schema. It speeds up agent response times significantly since the eight Classy tools rarely change their signatures.

All transaction details and member emails pass through an ephemeral, zero-trust V8 sandbox on Vinkius. This MCP architecture ensures no financial data is written to persistent storage during execution, keeping your donors' sensitive payment histories completely isolated.

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