How to Use the MoonClerk MCP in AutoGen

Q: How do I add MoonClerk tools to AutoGen?

Install autogen-extmcp and import mcpservertools with your server URL. Pass the generated tools list directly to your AssistantAgent constructor.

Q: Can AutoGen agents coordinate on MoonClerk customer updates?

Yes. An agent can call getcustomer to fetch subscriber details, while another agent reviews the data to confirm it matches your internal records.

Let your AutoGen agents debate and verify MoonClerk billing data before taking automated actions.

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Connect MoonClerk MCP to AutoGen

Create your Vinkius account to connect MoonClerk 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 MoonClerk with AutoGen

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Debate payment discrepancies using AutoGen agents

The `get_payment` tool fetches transaction records so your billing and audit agents can cross-examine the details. One agent checks the amount while another verifies the execution date to ensure perfect agreement. This consensus-driven approach prevents automated errors by forcing agents to resolve differences before updating systems. You get reliable payment processing without manual oversight.

Verify active coupons across agent conversations

The `list_coupons` tool retrieves your active discount codes so your sales agents can validate promotional offers. The agents discuss whether a coupon is valid for a specific customer profile before applying it. Because AutoGen handles schema conversion automatically, your agents can parse coupon codes without custom translation layers. This keeps the conversation moving fast while maintaining strict validation rules.

Audit checkout forms via MCP Server workflows

The `get_form` tool retrieves checkout page setups so your security and performance agents can review them. One agent verifies the payment settings while the other checks the embed configurations for potential issues. Working together, the agents flag outdated forms or incorrect pricing structures before they go live. This collaborative check ensures your checkout process remains secure and functional.

Setup guide

Set up MoonClerk 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 MoonClerk 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="MoonClerk_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

    result = await agent.run("List recent MoonClerk 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 MoonClerk. 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.

Why Choose Vinkius

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Common questions about MoonClerk MCP in AutoGen

Install autogen-ext[mcp] and import mcp_server_tools with your server URL. Pass the generated tools list directly to your AssistantAgent constructor.

Yes. An agent can call `get_customer` to fetch subscriber details, while another agent reviews the data to confirm it matches your internal records.

Yes, the McpToolAdapter automatically translates the tool schemas for your agents. You do not need to write custom JSON schemas for endpoints like `list_payments`.

The integration supports both stdio and Streamable HTTP transports. This gives you flexible deployment options depending on your agent network architecture.

The MCP Server manages your active discount data using an isolated V8 sandbox. This prevents unauthorized agents from accessing your promotional codes without explicit permission.

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