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 CrewAI 8 tools — connect in under 2 minutes

Name: Classy.org
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Classy.org through Vinkius, pass the Edge URL in the `mcps` parameter and every Classy.org tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Classy.org Specialist",
    goal="Help users interact with Classy.org effectively",
    backstory=(
        "You are an expert at leveraging Classy.org tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Classy.org "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Classy.org becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Classy.org tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 8 tools from Classy.org

Why Use CrewAI with the Classy.org MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Classy.org through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Classy.org + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Classy.org for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Classy.org, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Classy.org tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Classy.org against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Classy.org MCP Tools for CrewAI (8)

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

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

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Classy.org + CrewAI FAQ

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

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.