Givebutter MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Givebutter 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="Givebutter Assistant",
instructions=(
"You help users interact with Givebutter. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Givebutter"
)
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 Givebutter MCP Server
Connect your Givebutter account to any AI agent to automate your fundraising operations and donor management through the Model Context Protocol (MCP). Givebutter is the modern fundraising platform for nonprofits and changemakers. This MCP server enables you to retrieve donation transactions, manage fundraising campaigns, and synchronize donor profiles (contacts) directly through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from Givebutter through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Givebutter, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
Key Features
- Donation Oversight — List all donation transactions, fetch detailed metadata including status and timestamps, and monitor your revenue flow instantly.
- Campaign Management — Access active fundraising campaigns and events, retrieving detailed configuration and total raised amounts.
- Donor Synchronization — Search and list donor profiles, retrieve detailed contact metadata, and programmatically add new donors to your database.
- Offline Recording — Record offline donations or external payments programmatically to maintain a unified source of truth for your fundraising.
- Recurring Plan Monitoring — List and track configured recurring donation plans to understand long-term donor commitment.
- Webhook Visibility — Monitor active webhooks to ensure your internal systems are receiving real-time donation notifications.
- Real-time Synchronization — Keep your nonprofit's financial data accessible to your AI assistant without leaving your primary workspace.
The Givebutter MCP Server exposes 12 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 Givebutter to OpenAI Agents SDK via MCP
Follow these steps to integrate the Givebutter 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 12 tools from Givebutter
Why Use OpenAI Agents SDK with the Givebutter MCP Server
OpenAI Agents SDK provides unique advantages when paired with Givebutter 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
Givebutter + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Givebutter MCP Server delivers measurable value.
Automated workflows: build agents that query Givebutter, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Givebutter, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Givebutter tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Givebutter to resolve tickets, look up records, and update statuses without human intervention
Givebutter MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Givebutter to OpenAI Agents SDK via MCP:
get_account_details
Get account identity
get_campaign_details
Get campaign metadata
get_transaction_details
Get transaction metadata
list_donation_transactions
List donations
list_donation_webhooks
List webhook configs
list_donor_contacts
List donor profiles
list_fundraising_campaigns
List active campaigns
list_recent_donations
List last 10 success
list_recurring_plans
List recurring plans
record_offline_donation
Log a donation
sync_donor_contact
Add new donor
verify_api_connection
Check connection
Example Prompts for Givebutter in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Givebutter immediately.
"List all successful donations from the last 24 hours."
"Check the progress of our 'Annual Gala' campaign (ID: gala_2024)."
"Log an offline donation of $50.00 from 'Alice Smith' (ID: contact_123)."
Troubleshooting Givebutter MCP Server with OpenAI Agents SDK
Common issues when connecting Givebutter to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Givebutter + OpenAI Agents SDK FAQ
Common questions about integrating Givebutter 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 Givebutter 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 Givebutter to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
