Donorbox MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Cancel Recurring Plan, Check Api Health, Create New Donor, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Donorbox through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Donorbox app connector for Pydantic AI is a standout in the Customer Relationship Management category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Donorbox "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Donorbox?"
)
print(result.data)
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
Connect your Donorbox account to any AI agent and take full control of your nonprofit fundraising and donor engagement workflows through natural conversation.
Pydantic AI validates every Donorbox 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.
What you can do
- Donation Orchestration — List and manage donations programmatically, including filtering by email or campaign and retrieving detailed transaction metadata
- Donor CRM — Create and update donor profiles programmatically to maintain high-fidelity records of your organization's supporters
- Recurring Plan Lifecycle — Monitor, pause, resume, or cancel recurring donation subscriptions directly through your agent to streamline supporter management
- Campaign Intelligence — Access your complete directory of fundraising campaigns to monitor performance and coordinate outreach in real-time
- Operational Monitoring — Check API connectivity and monitor active webhooks directly through your agent for reliable fundraising operations
The Donorbox 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.
All 12 Donorbox tools available for Pydantic AI
When Pydantic AI connects to Donorbox through Vinkius, your AI agent gets direct access to every tool listed below — spanning online-donations, fundraising, donor-crm, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Cancel a recurring donation
Verify Donorbox API connectivity
Requires first name, last name, and email. Add a new donor record
Get authenticated account info
List active webhooks
Can be filtered by email, campaign, or amount. List all donations
Can be filtered by name or email. List all donors
List fundraising campaigns
List recurring donation plans
Pause a recurring donation
Resume a paused recurring donation
Modify a donor record
Connect Donorbox to Pydantic AI via MCP
Follow these steps to wire Donorbox into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Donorbox MCP Server
Pydantic AI provides unique advantages when paired with Donorbox 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 Donorbox integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Donorbox connection logic from agent behavior for testable, maintainable code
Donorbox + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Donorbox MCP Server delivers measurable value.
Type-safe data pipelines: query Donorbox with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Donorbox tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Donorbox and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Donorbox responses and write comprehensive agent tests
Example Prompts for Donorbox in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Donorbox immediately.
"List the last 5 donations in my Donorbox account."
"Check recurring plans for donor 'john.doe@example.com'."
"Pause the recurring plan with ID 'pln_456'."
Troubleshooting Donorbox MCP Server with Pydantic AI
Common issues when connecting Donorbox to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiDonorbox + Pydantic AI FAQ
Common questions about integrating Donorbox MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.