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 LangChain 8 tools — connect in under 2 minutes

Name: Classy.org
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Classy.org through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "classyorg": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Classy.org, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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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.

LangChain's ecosystem of 500+ components combines seamlessly with Classy.org through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Classy.org MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 8 tools from Classy.org via MCP

Why Use LangChain with the Classy.org MCP Server

LangChain provides unique advantages when paired with Classy.org through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Classy.org MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Classy.org queries for multi-turn workflows

Classy.org + LangChain Use Cases

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

RAG with live data: combine Classy.org tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Classy.org, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Classy.org tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Classy.org tool call, measure latency, and optimize your agent's performance

Classy.org MCP Tools for LangChain (8)

These 8 tools become available when you connect Classy.org to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Classy.org + LangChain FAQ

Common questions about integrating Classy.org MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.