Donorbox MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Donorbox through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Donorbox Assistant",
instructions=(
"You help users interact with Donorbox. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Donorbox"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Donorbox MCP Server
Integrate Donorbox, the powerful and easy-to-use donation software, directly into your AI workflow. Manage your one-time and recurring donations, track donor profiles and subscription plans, monitor fundraising campaigns and progress, and oversee your donation forms using natural language.
The OpenAI Agents SDK auto-discovers all 10 tools from Donorbox through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Donorbox, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Donation Oversight — List and retrieve detailed information and payment status for all your received contributions.
- Subscription Intelligence — Monitor active recurring donation plans, frequencies, and donor identifiers across your organization.
- Campaign Monitoring — Track fundraising campaigns, goals, total raised amounts, and progress percentages to ensure successful outcomes.
- Donor Auditing — Retrieve high-level summaries of donor engagement and identify your most loyal contributors instantly.
The Donorbox MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Donorbox to OpenAI Agents SDK via MCP
Follow these steps to integrate the Donorbox MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Donorbox
Why Use OpenAI Agents SDK with the Donorbox MCP Server
OpenAI Agents SDK provides unique advantages when paired with Donorbox through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Donorbox + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Donorbox MCP Server delivers measurable value.
Automated workflows: build agents that query Donorbox, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Donorbox, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Donorbox tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Donorbox to resolve tickets, look up records, and update statuses without human intervention
Donorbox MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Donorbox to OpenAI Agents SDK via MCP:
get_campaign_details
Get detailed settings and progress for a specific campaign
get_donorbox_account_metadata
Retrieve metadata for the current authenticated user
list_active_subscription_plans
Identify recurring plans that are currently in an "Active" status
list_donorbox_donations
List all donations received in your Donorbox account
list_fundraising_campaigns
List all fundraising campaigns configured in Donorbox
list_latest_contributions
Identify the most recently received donations
list_recurring_donation_plans
List all active recurring donation plans
list_registered_donors
List all donors registered in your Donorbox organization
quick_campaign_performance_audit
Retrieve a high-level summary of all campaign success rates
search_donors_by_email
Search for a donor using their email address
Example Prompts for Donorbox in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Donorbox immediately.
"List all recent donations received in Donorbox."
"Show me the performance for campaign 'Save the Oceans'."
"Find the recurring plan for donor 'sarah.jones@example.org'."
Troubleshooting Donorbox MCP Server with OpenAI Agents SDK
Common issues when connecting Donorbox to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Donorbox + OpenAI Agents SDK FAQ
Common questions about integrating Donorbox MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Donorbox with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Donorbox to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
