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How to Use the FundraisingBox MCP in AutoGen

Deploy multi-agent teams in AutoGen that debate and execute FundraisingBox tasks for your nonprofit operations.

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AutoGen

Connect FundraisingBox MCP to AutoGen

Create your Vinkius account to connect FundraisingBox 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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Debate donor records in AutoGen

Assign agents to verify donor identity using `search_donors`. If one agent finds a mismatch, another can challenge it using `get_donor_history`. This process ensures high data quality. The agents negotiate until they agree on the correct donor information.

Process donations with an MCP Server

Your AutoGen team uses `list_donations` to review daily intake. Agents check these against project targets using `list_donations_by_project`. They coordinate to spot trends or missing records. The agents divide the work to ensure every donation is accounted for.

Monitor FundraisingBox status with agents

Use `check_fundraisingbox_status` as a heartbeat check for your agents. If the connection fails, the system alerts your admin agent immediately. This creates a self-healing pipeline. Your agents keep the operation running without manual oversight.

Setup guide

Set up FundraisingBox MCP in AutoGen

Prerequisites

  • Python 3.10+ installed
  • autogen-ext[mcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 3

    Run your agent

    Pass the tools to AssistantAgent and call agent.run(). The agent invokes FundraisingBox 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="FundraisingBox_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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Common questions about FundraisingBox MCP in AutoGen

Use the mcp-ext package to load the tools into your agent agents. The tool adapter handles the schema mapping automatically.
Yes. Agents pass tool outputs back and forth during their conversation. They build consensus based on the shared data.
It does. You can include the MCP tools in a group chat where multiple agents contribute to a single fundraising report.
Define the specific tools you want to pass to each agent constructor. You control exactly what each agent can call.
All donor names and contact info remain within your local agent session. The server acts as a secure, ephemeral gateway for your queries.

Start using the FundraisingBox MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 14 tools

We've already built the connector for FundraisingBox. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 14 tools are live and waiting. You're up and running in seconds.

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