How to Use the Donately MCP in OpenAI Agents SDK

Connect Donately to your OpenAI Agents SDK project to manage donor data and campaign metrics with native tool discovery.

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Connect Donately MCP to OpenAI Agents SDK

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

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Automated donor insights in OpenAI Agents SDK

Your agent pulls donor histories using `get_donor_profile` to inform outreach strategies. It identifies your most generous supporters through `list_highest_lifetime_donors` without manual data exports. Everything happens inside your agent's execution loop. The OpenAI Agents SDK maps these functions directly, letting your code handle logic while the MCP Server manages the API heavy lifting.

Real-time campaign tracking

Monitor performance on the fly with `get_campaign_performance_summary` to see which appeals actually work. You can cross-reference these stats against specific records using `list_all_donations` to keep your team grounded in hard numbers. This setup removes the lag between receiving a gift and acting on it. Your agent triggers updates based on incoming data, keeping your fundraising pipeline current.

Efficient donor communication

Find specific records fast by using `search_donations_by_email` to answer donor inquiries instantly. When you need to verify recent activity, `list_latest_contributions` gives you the exact window of time you need. These tools integrate into your agent's safety pipeline. By using this MCP Server, you ensure that every data check is verified against your production environment's constraints.

Setup guide

Set up Donately 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 Donately tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Common questions about Donately MCP in OpenAI Agents SDK

You connect the server by passing the endpoint to the Agent constructor. The OpenAI Agents SDK automatically detects all ten tools upon initialization. This keeps your agent code clean and ready for production.

Yes. You provide your Donately API token to the server, which handles the handshake. The agent then interacts with the API through the secure MCP tunnel without exposing your credentials.

This version of the Donately MCP Server focuses on retrieval and monitoring. You can query data like donation details or campaign summaries, but it does not execute write operations like creating new records.

Data flows directly from the Donately API to your local agent environment. Vinkius hosts the server as a transient process, meaning no data is stored on our end after your session ends.

Your donor records remain protected by the transport security layer between your agent and the server. Only the specific fields returned by the API are visible to your agent during its decision-making process.

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