GivingFuel 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 GivingFuel 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="GivingFuel Assistant",
instructions=(
"You help users interact with GivingFuel. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from GivingFuel"
)
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 GivingFuel MCP Server
Connect your GivingFuel account to any AI agent to automate your fundraising data extraction and donor relationship management through the Model Context Protocol (MCP). GivingFuel is a powerful, flexible fundraising platform for nonprofits and ministries. This MCP server enables you to retrieve donation orders, track individual donor responses (registrants), and monitor active fundraising pages directly through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from GivingFuel through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries GivingFuel, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
Key Features
- Donation Oversight — List all donation orders for your organization, including transaction totals and status (completed, refunded, pending).
- Donor Detail Discovery — Retrieve detailed records for individual donors and their specific form responses to understand donor sentiment.
- Financial Transaction Tracking — Access financial processing data for both successful and failed charges to monitor payment health.
- Page Management — List all active fundraising pages and events, retrieving detailed configuration metadata for each.
- Donor CRM Insights — Access unified donor profiles from the Webconnex platform to track long-term donor engagement.
- P2P Campaign Discovery — Retrieve data related to Peer-to-Peer fundraising campaigns and participant activity.
- Real-time Synchronization — Keep your organization's fundraising data accessible to your AI assistant without leaving your primary workspace.
The GivingFuel 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 GivingFuel to OpenAI Agents SDK via MCP
Follow these steps to integrate the GivingFuel 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 GivingFuel
Why Use OpenAI Agents SDK with the GivingFuel MCP Server
OpenAI Agents SDK provides unique advantages when paired with GivingFuel 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
GivingFuel + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the GivingFuel MCP Server delivers measurable value.
Automated workflows: build agents that query GivingFuel, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries GivingFuel, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through GivingFuel tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query GivingFuel to resolve tickets, look up records, and update statuses without human intervention
GivingFuel MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect GivingFuel to OpenAI Agents SDK via MCP:
filter_orders_by_date
Filter by date range
filter_orders_by_status
Filter by completion
list_crm_contacts
List donor profiles
list_donation_orders
List all orders
list_donation_registrants
List individual donors
list_financial_transactions
List successful charges
list_fundraising_pages
List donation pages
list_peer_campaigns
List P2P campaigns
list_recent_donations
List latest 10 orders
verify_api_connection
Check connection
Example Prompts for GivingFuel in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with GivingFuel immediately.
"List the last 5 donation orders received."
"Show me all fundraising pages active in my account."
"How many donations were marked as 'refunded' today?"
Troubleshooting GivingFuel MCP Server with OpenAI Agents SDK
Common issues when connecting GivingFuel to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
GivingFuel + OpenAI Agents SDK FAQ
Common questions about integrating GivingFuel 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 GivingFuel 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 GivingFuel to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.