How to Use the GivingFuel MCP in CrewAI

Q: How do I expose the GivingFuel MCP Server to a CrewAI agent?

Pass your Vinkius HTTP URL directly into the mcps parameter when defining your CrewAI agent. The framework automatically discovers tools like listrecentdonations and makes them available to the agent.

Q: How do I limit which GivingFuel tools a CrewAI agent can use?

Use the MCPServerHTTP class from crewai.mcp and define a toolfilter on the MCP client. This allows you to restrict an agent to only call listfundraisingpages while blocking access to financial endpoints.

Q: Where is my GivingFuel financial transaction data stored when processed by CrewAI?

GivingFuel financial transactions fetched via listfinancialtransactions are processed entirely in memory by your CrewAI agents. Vinkius executes the MCP Server in a zero-trust, ephemeral sandbox, ensuring no financial data is persisted.

Deploy a team of specialized CrewAI agents to audit and optimize your GivingFuel fundraising operations.

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Connect GivingFuel MCP to CrewAI

Create your Vinkius account to connect GivingFuel 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 GivingFuel with CrewAI

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Run autonomous GivingFuel page audits with CrewAI

The `list_fundraising_pages` tool gives your CrewAI researcher agent direct access to active donation pages. Meanwhile, an analyst agent uses `list_peer_campaigns` to examine performance metrics across peer-to-peer networks. Together, they compile detailed audit reports without human intervention. This multi-agent collaboration leverages CrewAI's shared memory. The researcher agent passes the page metadata to the analyst agent, who then evaluates which campaigns are driving the most traffic. Bottom line: you get a continuous, automated audit of your GivingFuel setup.

Let CrewAI agents monitor GivingFuel transaction status

The `filter_orders_by_status` tool allows a specialized monitor agent to isolate failed or pending orders. When a failure is detected, the agent passes the order ID to a financial investigator agent, who calls `list_financial_transactions` to verify if a charge actually occurred. This hierarchical execution prevents false positives on your live dashboards. By running these checks through this MCP Server, your CrewAI agents reconcile discrepancies before they reach your accounting system, ensuring only validated data is logged.

Segment GivingFuel donor profiles using CrewAI teams

The `list_crm_contacts` tool provides your CrewAI marketing crew with donor profiles and historical giving data. A segmentation agent groups these contacts based on registration records retrieved via `list_donation_registrants`. A writer agent then drafts personalized outreach plans for each segment. By passing the Vinkius HTTP URL directly into your CrewAI agents' `mcps` array, you expose these tools to the entire crew, giving your CrewAI agents access to the MCP Server. The agents autonomously determine which tools to call, ensuring your donor segmentation remains accurate and up-to-date.

Setup guide

Set up GivingFuel 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 GivingFuel tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent GivingFuel 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="GivingFuel Analyst",
        goal="Access and analyze GivingFuel data via MCP.",
        backstory="Expert analyst with direct GivingFuel access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent GivingFuel 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 GivingFuel. 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 GivingFuel MCP in CrewAI

Pass your Vinkius HTTP URL directly into the `mcps` parameter when defining your CrewAI agent. The framework automatically discovers tools like `list_recent_donations` and makes them available to the agent.

Yes, CrewAI's shared memory allows a researcher agent using `list_crm_contacts` to pass donor profiles directly to an analyst agent for segmentation and reporting.

Use the `MCPServerHTTP` class from `crewai.mcp` and define a `tool_filter` on the MCP client. This allows you to restrict an agent to only call `list_fundraising_pages` while blocking access to financial endpoints.

Yes, CrewAI supports stdio, SSE, and Streamable HTTP transports. When hosted on Vinkius, the server is accessed via a secure HTTP endpoint, simplifying multi-agent deployments.

GivingFuel financial transactions fetched via `list_financial_transactions` are processed entirely in memory by your CrewAI agents. Vinkius executes the MCP Server in a zero-trust, ephemeral sandbox, ensuring no financial data is persisted.

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