How to Use the GivingFuel MCP in AutoGen

Use AutoGen agents to debate and verify GivingFuel financial data before taking action on your campaigns.

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Connect GivingFuel MCP to AutoGen

Create your Vinkius account to connect GivingFuel to AutoGen 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 AutoGen

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Debate GivingFuel data with multiple agents

Assign one agent to `list_donation_orders` and another to `list_financial_transactions`. They will compare the records and flag discrepancies automatically before you see the final report. This multi-agent setup forces the system to reach a consensus. It prevents errors by having specialized agents challenge the data they receive from the MCP Server.

Automate GivingFuel oversight with agents

Create a security agent that monitors `list_crm_contacts` for anomalies. If it finds something suspicious, it can signal a second agent to halt further processing of that donor's records. This negotiation process happens behind the scenes. You get the benefit of a system that checks itself constantly without needing your input on every single transaction.

Negotiate campaign strategy via MCP Server

Let a performance agent and a strategy agent deliberate on `list_peer_campaigns` data. They can decide which campaigns need more resources based on current donation velocity. This conversation-driven approach provides better decision-making than a single agent ever could. They weigh the data against your goals and agree on the next move.

Setup guide

Set up GivingFuel MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes GivingFuel tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="GivingFuel_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent GivingFuel data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="GivingFuel_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent GivingFuel data")
    print(result.messages[-1].content)

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 AutoGen

Install the extension and define your server parameters. You pass the tool list directly to your assistant agents, and the adapter handles the schema conversion for you.

They share context through their conversation history. Once one agent retrieves data from `list_recent_donations`, the other agents can use that information to inform their own analysis.

You can provide all 10 tools from the server. The agents will decide which ones to call based on the task at hand and the debate occurring within the group.

Data access is strictly limited to the agents you authorize. Your financial information is handled within the memory of your local agent environment, keeping it isolated.

You can set up a manager agent to break ties. It reviews the arguments from the other agents and decides which data point from the MCP Server is the source of truth.

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