How to Use the Donorbox MCP in OpenAI Agents SDK
Let your OpenAI Agents SDK system audit donation campaigns and track recurring supporters directly through the Donorbox MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Donorbox MCP to OpenAI Agents SDK
Create your Vinkius account to connect Donorbox 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.
Track donor retention with OpenAI Agents SDK
The `list_recurring_donation_plans` tool gives your Python agents immediate access to active subscription agreements. This tool lets your system monitor ongoing donor commitments and handle subscriber churn without manual database queries. By passing this capability to your agent pool, the system can automatically flag accounts that canceled their plans. You can use `list_active_subscription_plans` to feed clean subscription metrics into your custom dashboard via the MCP.
Run automated campaign audits via MCP Server
The `quick_campaign_performance_audit` tool fetches a high-level summary of your current fundraising success rates. Your OpenAI-based agent parses this raw performance data to identify which initiatives require immediate marketing support. You can also call `get_campaign_details` to pull specific target goals and progress metrics for a single drive. This lets your agent generate daily operational updates for your Slack channels or email reports.
Look up donor history instantly
The `search_donors_by_email` tool matches donor records to specific email addresses so your agent can check supporter status instantly. This tool prevents duplicate records when your customer support agents handle incoming inquiries. Combine this search with `list_latest_contributions` to see what a donor gave and when. This setup lets your agents draft hyper-personalized thank-you notes using real-time contribution logs.
Set up Donorbox MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Donorbox tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Donorbox tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Donorbox tools and returns structured results. Copy the full example on the right to get started.
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="Donorbox Agent",
instructions="You have access to Donorbox tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Donorbox. 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 Donorbox MCP in OpenAI Agents SDK
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