How do I get an API Key for GivingFuel?

Log in to your GivingFuel account, navigate to Extras > Integrations > API Keys, and click 'Add API Key' to generate your key.

Can I add new donations via the agent?

The GivingFuel Public API is primarily designed for data extraction and polling. To record new donations, use your GivingFuel hosted donation pages.

How do I filter donations for a specific date range?

Use the 'filter_orders_by_date' tool and provide an ISO date (YYYY-MM-DD). The agent will retrieve all records created after that date.

Does this support multiple Webconnex products?

This MCP server is specifically configured to filter results for GivingFuel (givingfuel.com). It ensures you only see fundraising-related data.

GivingFuel MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: GivingFuel
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect GivingFuel through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to GivingFuel "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in GivingFuel?"
    )
    print(result.data)

asyncio.run(main())

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* 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.

Pydantic AI validates every GivingFuel tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the GivingFuel MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from GivingFuel with type-safe schemas

Why Use Pydantic AI with the GivingFuel MCP Server

Pydantic AI provides unique advantages when paired with GivingFuel through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your GivingFuel integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your GivingFuel connection logic from agent behavior for testable, maintainable code

GivingFuel + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the GivingFuel MCP Server delivers measurable value.

Type-safe data pipelines: query GivingFuel with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple GivingFuel tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query GivingFuel and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock GivingFuel responses and write comprehensive agent tests

GivingFuel MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect GivingFuel to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting GivingFuel to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

GivingFuel + Pydantic AI FAQ

Common questions about integrating GivingFuel MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your GivingFuel MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.