How to Use the HelloAsso MCP in AutoGen
Give your AutoGen agents direct access to HelloAsso. Let them debate payment data and generate checkout links for your non-profit.
Works with every AI agent you already use
…and any MCP-compatible client
Connect HelloAsso MCP to AutoGen
Create your Vinkius account to connect HelloAsso 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.
Analyze financial health with AutoGen
The `list_payments` and `list_subscriptions` tools pull raw transaction data directly from your non-profit's account. Your AutoGen agents can take this data and argue over it. An auditor agent checks the amounts in cents (EUR) while a community manager agent looks for lapsed recurring donations. You don't have to write custom polling scripts. Pass the tools to your `AssistantAgent` constructor and let the system negotiate the results. If a payment looks strange, one agent can call `get_payment_details` to pull the exact timestamp and payer info before reaching a consensus.
Connect the HelloAsso MCP Server
The `list_my_organizations` tool grabs the required slugs your agents need to navigate multiple associations. Once they have the slug, they run `list_orders` to see exactly what users bought or donated in a single session. This is how you map out donor behavior without opening a dashboard. Running these tools through an MCP connection forces your agents to verify facts. A data agent pulls the recent orders, and a fulfillment agent uses `list_sold_items` to verify ticket sales or membership tiers. They debate the discrepancies and output a final reconciliation report.
Generate checkout intents instantly
The `create_checkout_intent` tool takes an amount in cents and returns a live redirect URL for the payer. Your agents can negotiate the exact donation ask based on past donor history using `get_member_details`, agree on a figure, and generate the link on the spot. Agents can also read active campaigns through `list_forms` to match the checkout intent to the right donation drive. You get a fully autonomous system where agents figure out the context, debate the best approach, and execute the transaction request.
Set up HelloAsso 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 HelloAsso 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="HelloAsso_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent HelloAsso 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="HelloAsso_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent HelloAsso 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 HelloAsso. 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 HelloAsso MCP in AutoGen
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