Can I see how much a specific campaign has raised?

Yes! Use the `get_campaign_details` tool with the campaign ID. The agent will return the total gross amount raised along with other performance metrics.

How do I check the latest donations through the agent?

Use the `list_donation_transactions` tool or the `get_activity_feed` tool. Your agent will fetch the most recent records, including the donor's name and the donation amount.

Where do I find my Classy API Client ID and Secret?

Log in to your Classy Manager and navigate to **Apps & Integrations > API**. You can create a new API application to generate your Client ID and Client Secret.

Classy.org MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Classy.org
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

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

    result = await agent.run(
        "What tools are available in Classy.org?"
    )
    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 Classy.org MCP Server

Connect your Classy.org (GoFundMe Pro) account to any AI agent and take full control of your fundraising operations through natural conversation. Streamline how you manage donor relationships and campaign performance natively.

Pydantic AI validates every Classy.org tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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

Campaign Oversight — List and retrieve details for all active and inactive fundraising campaigns natively
Transaction Intelligence — Access recent donation and registration records including amounts and statuses flawlessly
Supporter Logistics — List community members and individual supporters to maintain relationships securely
Page & Team Management — Monitor individual fundraising pages and team-based efforts flawlessly
Activity Auditing — Access a real-time feed of interactions, such as new donations or page creations, flawlessly
Organization Visibility — Retrieve organization settings and high-level data directly within your workspace

The Classy.org MCP Server exposes 8 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 Classy.org to Pydantic AI via MCP

Follow these steps to integrate the Classy.org 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 8 tools from Classy.org with type-safe schemas

Why Use Pydantic AI with the Classy.org MCP Server

Pydantic AI provides unique advantages when paired with Classy.org 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 Classy.org integration code

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

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

Classy.org + Pydantic AI Use Cases

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

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

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

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

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

Classy.org MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Classy.org to Pydantic AI via MCP:

get_activity_feed

Retrieve a feed of recent interactions (donations, registrations)

get_campaign_details

Get detailed information for a specific campaign

list_classy_members

List community members and supporters

list_classy_organizations

Retrieve organization data and settings

list_donation_transactions

List recent donation and registration transactions

list_fundraising_campaigns

List all fundraising campaigns

list_fundraising_teams

List team-based fundraising pages

list_individual_fundraising_pages

List individual supporter fundraising pages

Example Prompts for Classy.org in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Classy.org immediately.

"List all active fundraising campaigns in Classy."

"Show me the last 5 donations."

"Who are the top fundraisers in the 'Marathon 2026' team?"

Troubleshooting Classy.org MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Classy.org + Pydantic AI FAQ

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