How to Use the GivingFuel MCP in OpenAI Agents SDK

Q: What specific donor data does this GivingFuel MCP server expose?

It exposes donor profiles and transaction history via listcrmcontacts and listdonationorders. No plaintext credit card numbers are ever processed.

Connect your OpenAI Agents SDK to GivingFuel to track donor data and campaign performance in real-time.

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Connect GivingFuel MCP to OpenAI Agents SDK

Create your Vinkius account to connect GivingFuel 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 GivingFuel with OpenAI Agents SDK

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Real-time donor data access

Your agent pulls live donation records instantly using `list_recent_donations` and `list_donation_orders`. This eliminates the need for manual CSV exports when you need to check current funding totals. Automate your financial reporting by triggering `list_financial_transactions` directly within your agent loop. You get the raw data you need for your dashboard without leaving your development environment.

Manage campaigns with GivingFuel

Control your fundraising presence by querying `list_fundraising_pages` and `list_peer_campaigns` via your agent. It identifies which initiatives currently drive the most engagement based on live registrant counts. Use `list_donation_registrants` to cross-reference participant lists against your internal records. Your agent handles the heavy lifting of mapping donor intent to specific campaign outcomes.

Verify GivingFuel connectivity

Run `verify_api_connection` as a pre-flight check in your production agent pipeline. This confirms your API tokens remain valid before the agent attempts to process any sensitive donation records. It ensures your agent never stalls during a live event due to authentication failures. You maintain full control over the connection state from your Python environment.

Setup guide

Set up GivingFuel 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 GivingFuel tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate GivingFuel 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="GivingFuel Agent",
            instructions="You have access to GivingFuel tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

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 OpenAI Agents SDK

You initialize the connection using the MCPServerStreamableHttp class. Pass your endpoint URL to the constructor and include the server instance in your Agent configuration.

Yes. The server handles authentication via a single endpoint token. Your agent only accesses the specific donation records it needs to fulfill a prompt.

Absolutely. Because the tools return structured data, your agent guardrails can validate every response against your schema before execution.

The server returns standard API error codes. You should implement retry logic in your agent to handle temporary rate limit spikes.

It exposes donor profiles and transaction history via `list_crm_contacts` and `list_donation_orders`. No plaintext credit card numbers are ever processed.

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