How to Use the Givebutter MCP in AutoGen

Q: How do AutoGen agents use Givebutter to reconcile transactions?

Your agents call listdonationtransactions and gettransactiondetails via the MCP Server to fetch live records. They then debate any discrepancies between your internal database and Givebutter before logging corrections.

Q: Can my AutoGen group sync donor contacts to Givebutter?

Yes, your agents use syncdonorcontact to update donor profiles. One agent can draft the contact details while another verifies the email format before executing the sync.

Q: How do I verify the Givebutter MCP Server connection in AutoGen?

You register verifyapiconnection as a tool for your coordinator agent. The agent runs this check first to confirm API access before assigning tasks to other agents in the group.

Q: Can agents track active fundraising campaigns?

Yes, your agents call listfundraisingcampaigns to check campaign progress. They use this data to debate marketing copy and suggest adjustments to active fundraising strategies.

Let AutoGen agents debate campaign strategies and log offline donations directly to Givebutter.

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Connect Givebutter MCP to AutoGen

Create your Vinkius account to connect Givebutter 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 Givebutter with AutoGen

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Resolve transaction discrepancies in AutoGen

`list_donation_transactions` fetches live financial records via this MCP Server so your AutoGen agents can debate and reconcile transaction discrepancies. One agent checks the raw transaction log while another reviews offline spreadsheets. They compare the results and use `get_transaction_details` to verify specific payment methods. This consensus-driven approach ensures your bookkeeping matches your Givebutter ledger before final reporting.

Coordinate donor profile creation across agents

`sync_donor_contact` adds new donor profiles directly to your Givebutter CRM during agent conversations. A data-entry agent proposes the contact details, while a validation agent checks the formatting. Once both agents agree the data is clean, they execute the tool to update your database. This prevents duplicate entries and keeps your donor mailing list accurate.

Monitor webhook configurations collaboratively

`list_donation_webhooks` retrieves active webhook configurations to let your security and development agents audit system integrations. The security agent flags unauthorized endpoints while the dev agent verifies active statuses. The agents deliberate on which webhooks are valid and present a compiled report of active connections. This ensures your real-time notification pipelines remain secure without manual auditing.

Setup guide

Set up Givebutter 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 Givebutter 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="Givebutter_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

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="Givebutter_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Givebutter 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 Givebutter. 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 Givebutter MCP in AutoGen

Your agents call `list_donation_transactions` and `get_transaction_details` via the MCP Server to fetch live records. They then debate any discrepancies between your internal database and Givebutter before logging corrections.

Yes, your agents use `sync_donor_contact` to update donor profiles. One agent can draft the contact details while another verifies the email format before executing the sync.

You register `verify_api_connection` as a tool for your coordinator agent. The agent runs this check first to confirm API access before assigning tasks to other agents in the group.

Yes, your agents call `list_fundraising_campaigns` to check campaign progress. They use this data to debate marketing copy and suggest adjustments to active fundraising strategies.

This MCP Server runs within an isolated V8 sandbox that restricts access to your campaign metadata and donor records. Credentials are encrypted and never shared between agents, keeping your fundraising configuration private.

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