How to Use the Classy.org MCP in CrewAI

Q: How do I link CrewAI to my Classy.org account?

Add the Vinkius URL directly to your agent's mcps array. Install the crewaitools package and the framework handles the HTTP transport automatically.

Q: Can a CrewAI agent filter which Classy.org tools it sees?

Yes. Import MCPServerHTTP and apply a toolfilter. You can give your researcher access to listclassymembers while hiding transaction operations.

Deploy an autonomous CrewAI team to monitor Classy.org campaigns, analyze donor trends, and manage peer-to-peer fundraising without human intervention.

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Connect Classy.org MCP to CrewAI

Create your Vinkius account to connect Classy.org to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Classy.org with CrewAI

Ask AI about this MCP

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Claude

Perplexity

Dedicated Donor Analysts

Stop running single scripts to check your fundraising stats. You build a specialized researcher agent that constantly pulls records using `list_donation_transactions`. That first worker drops raw data into shared memory. A second analyst picks up the context, reads the `get_activity_feed` output, and writes a daily brief on giving patterns.

Campaign Management Squads

Managing multiple initiatives requires serious oversight. Set up a manager agent that delegates tasks using hierarchical execution. The manager assigns a worker to run `list_fundraising_campaigns` across the organization. When anomalies appear, it orders another agent to dig deeper with `get_campaign_details` to find the root cause.

Classy.org MCP Server Teams

Tracking community advocates is a full-time job. Hand that work over to the server so your team can focus on strategy. One agent monitors `list_fundraising_teams` for new groups. A moderator agent then checks `list_individual_fundraising_pages` to ensure all participants meet your compliance guidelines before approving them.

Setup guide

Set up Classy.org MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Classy.org tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Classy.org Analyst",
    goal="Access and analyze Classy.org data via MCP.",
    backstory="Expert analyst with direct Classy.org access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Classy.org transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Classy.org Analyst",
        goal="Access and analyze Classy.org data via MCP.",
        backstory="Expert analyst with direct Classy.org access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Classy.org transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Classy.org. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Classy.org MCP in CrewAI

Add the Vinkius URL directly to your agent's `mcps` array. Install the `crewai[tools]` package and the framework handles the HTTP transport automatically.

Yes. Import `MCPServerHTTP` and apply a `tool_filter`. You can give your researcher access to `list_classy_members` while hiding transaction operations.

The framework maintains conversation memory across the entire crew. The agent pulling the transaction list shares its findings contextually with the writer agent.

You configure the execution loop. Set the crew to run sequentially on a cron job, or build a continuous monitoring setup where agents react to new data.

The infrastructure relies on a strict zero-trust model. Your agents process raw donor profiles and transaction histories, but the Vinkius sandbox evaporates instantly after returning the payload.

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