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How to Use the Bloomerang MCP in OpenAI Agents SDK

Directly manage donor records and fundraising data from your OpenAI Agents SDK production environment.

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OpenAI Agents SDK

Connect Bloomerang MCP to OpenAI Agents SDK

Create your Vinkius account to connect Bloomerang 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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Full donor lifecycle control in OpenAI Agents SDK

Your agent handles constituent data by calling `create_constituent` and `get_constituent` directly within your Python pipeline. It eliminates manual entry errors by validating data against your schema before the server processes the record. This MCP Server provides the exact hooks needed to keep your CRM updated. Your agent pulls records automatically, ensuring your production system stays in sync without extra glue code.

Track campaign performance with OpenAI Agents SDK

Feed your agent real-time data using `list_campaigns` and `list_appeals`. It connects your fundraising logic to the raw numbers without leaving your IDE. Your code monitors progress by iterating through `list_transactions`. You get an immediate view of how specific efforts perform, allowing for rapid adjustments based on actual donor behavior.

Automate constituent task management

Use `list_tasks` and `list_notes` to give your OpenAI Agents SDK agent a memory of past interactions. It reads the history and plans follow-ups without you writing custom database wrappers. Everything happens inside your agent loop. By querying these tools, your logic determines the next action for any donor, keeping your outreach focused and timely.

Setup guide

Set up Bloomerang 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. 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. 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 Bloomerang tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Bloomerang 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="Bloomerang Agent",
            instructions="You have access to Bloomerang 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 Bloomerang. 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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Built-in savings

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Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Bloomerang MCP in OpenAI Agents SDK

You initialize the connection using the MCPServerStreamableHttp class. Once the endpoint is set, the SDK discovers the tools automatically and maps them to your agent's execution path.
Yes, your agent creates new constituents using the `create_constituent` tool. This tool sends the necessary fields directly to your CRM, bypassing manual data entry.
Vinkius handles the transport through a secure, ephemeral sandbox. Your donor contact information and gift history never touch persistent storage outside your authorized environment, and every request requires your specific endpoint token.
You can set cacheToolsList to true in your agent configuration. This reduces latency when your agent frequently queries the same list of campaigns or funds.
The server rejects malformed requests immediately. Since you are using the Vinkius managed environment, the API enforces strict validation rules for every donor record you attempt to push.

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