How do I get an API Key for Givebutter?

Log in to your Givebutter dashboard, navigate to Settings > Developers > API, and you can generate a new secret API key there.

Can I process live credit card transactions via the agent?

No, this integration is for management and data retrieval. For security, live donor checkouts must still happen through Givebutter's secure forms.

What format should the donation amount be in?

The Givebutter API uses major units for amounts. For example, to record a $10.50 donation, you should provide the decimal value '10.50'.

How do I link a transaction to a specific campaign?

Use the 'campaign_id' parameter in the 'record_offline_donation' tool. You can find your campaign IDs using the 'list_fundraising_campaigns' tool.

Givebutter MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Name: Givebutter
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Givebutter 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 Givebutter "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every Givebutter tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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 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 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 Givebutter to Pydantic AI via MCP

Follow these steps to integrate the Givebutter 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 12 tools from Givebutter with type-safe schemas

Why Use Pydantic AI with the Givebutter MCP Server

Pydantic AI provides unique advantages when paired with Givebutter 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 Givebutter integration code

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

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

Givebutter + Pydantic AI Use Cases

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

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

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

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

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

Givebutter MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Givebutter to Pydantic AI 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 Pydantic AI

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

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Givebutter + Pydantic AI FAQ

Common questions about integrating Givebutter 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 Givebutter MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.