How to Use the Donorbox MCP in AutoGen
Let AutoGen agents debate and manage your Donorbox campaigns, recurring plans, and donor records.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Donorbox MCP to AutoGen
Create your Vinkius account to connect Donorbox 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.
Let AutoGen agents coordinate donor outreach
The `create_new_donor` tool allows your primary outreach agent to register new supporters during conversational workflows. In AutoGen, a security agent can inspect the payload, while a database agent executes the tool on the MCP Server to add the record. This multi-agent debate ensures that no duplicate or malformed donor profiles get written to your account. The agents discuss the incoming data, verify the email format, and only write to the database once they reach a consensus.
Manage recurring plans through agent consensus
The `cancel_recurring_plan` tool terminates active recurring donation agreements when requested by a supporter. In an AutoGen group chat, a customer service agent can propose the cancellation, while a billing agent verifies the plan ID first. This prevents accidental plan cancellations and keeps your records clean. The agents can also coordinate to call `pause_recurring_plan` or `resume_recurring_plan` based on the donor's preference, logging the entire debate for your team.
Track campaign metrics and API connectivity
The `list_fundraising_campaigns` tool retrieves active campaign statistics for your agents to analyze. A marketing agent and a financial agent can debate which campaigns need more promotional support based on live donation totals. Before executing these complex discussions, the system runs `check_api_health` to verify that the connection to the API is stable. This ensures your agents don't waste execution tokens trying to query an offline endpoint.
Set up Donorbox 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Donorbox tools and returns structured results.
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="Donorbox_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Donorbox data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="Donorbox_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Donorbox data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Donorbox. 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 Donorbox MCP in AutoGen
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