How to Use the Memberful MCP in AutoGen
Let your AutoGen agents debate billing anomalies and coordinate Memberful subscriber management tasks.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Memberful MCP to AutoGen
Create your Vinkius account to connect Memberful 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.
Coordinate Memberful tasks via AutoGen multi-agent debate
Coordinating complex subscription workflows across multiple AutoGen agents is straightforward with this setup. You can establish an AutoGen conversation where a support agent uses `get_member` to check status, while a billing agent reviews `list_orders` to cross-reference transactions. Debating the Memberful findings in real-time allows the AutoGen agents to reach consensus. Should there be an issue with a payment, they discuss the best resolution—like applying a coupon via `list_coupons`—before presenting the final plan to the Memberful customer.
Automate Memberful validation with specialized AutoGen agent roles
Securing your setup is easy when you assign different Memberful tools to different AutoGen agents. Giving your AutoGen billing agent access to `get_order` and `list_discounts` keeps your onboarding agent restricted to `create_member` and `list_plans`. Such segregation of duties ensures that AutoGen agents only call the Memberful tools relevant to their specific role. After the onboarding agent registers the user in Memberful, the AutoGen conversation hands off to the billing agent to verify the setup.
Resolve complex Memberful billing conflicts before AutoGen execution
Resolving subscriber disputes in AutoGen requires the necessary hooks like `list_subscriptions` and `list_webhooks` provided by this server. Querying `list_subscriptions` and `list_webhooks` lets your AutoGen agents verify if a cancellation event was actually processed by Memberful. Acting as the auditor, one AutoGen agent analyzes the output of `get_account_info` and compares it to the Memberful subscription logs. Agreement between both AutoGen agents on the Memberful status is required before the system outputs the recommended fix.
Set up Memberful 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 Memberful 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="Memberful_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Memberful 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="Memberful_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Memberful 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 Memberful. 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 Memberful MCP in AutoGen
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