How to Use the ChartMogul MCP in AutoGen

Q: How do I configure AutoGen to talk to ChartMogul?

Install the autogen-extmcp package. Initialize the tools using mcpservertools with a StreamableHttpServerParams pointing to your Vinkius endpoint, then pass them to your AssistantAgent.

Q: Does AutoGen format the ChartMogul tool schemas automatically?

The McpToolAdapter takes care of all schema translations behind the scenes. Your agents instantly understand the required parameters for complex endpoints like createcustomerrecord.

Build AutoGen agent swarms that debate and analyze ChartMogul subscription data.

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Connect ChartMogul MCP to AutoGen

Create your Vinkius account to connect ChartMogul 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 ChartMogul with AutoGen

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Perplexity

Swarm analysis of revenue trends

Providing your agent teams with financial reality starts with the MCP endpoints `get_mrr_history` and `get_arr_history`. A data-gathering agent pulls the raw numbers while a separate analyst agent interprets the trajectory. Multiple AI personas debate the meaning of the metrics before reaching a conclusion. A conservative risk agent might look at `get_churn_rates` and argue for caution, while a growth agent focuses on expansion revenue.

Collaborative account management

Agentic workflows handle complex subscriber scenarios using the `get_customer_details` tool. One agent retrieves the billing history, passes it to a strategy agent, and waits for instructions. Decisions about account interventions require consensus. The swarm evaluates `get_customer_ltv` alongside recent support tickets, arguing over whether to offer a discount or let the customer churn naturally.

Map billing setups via MCP Server

Technical agents audit your analytics stack by calling `list_data_sources` and `get_api_status`. They verify that Stripe, PayPal, or custom billing systems are correctly feeding data into the platform. Pricing strategy discussions rely heavily on the `list_subscription_plans` tool. The swarm cross-references your active plans against user growth metrics from `get_customer_count_history` to identify underperforming tiers.

Setup guide

Set up ChartMogul 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 ChartMogul 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="ChartMogul_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

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

    result = await agent.run("List recent ChartMogul 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 ChartMogul. 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 ChartMogul MCP in AutoGen

Install the `autogen-ext[mcp]` package. Initialize the tools using `mcp_server_tools` with a `StreamableHttpServerParams` pointing to your Vinkius endpoint, then pass them to your AssistantAgent.

Yes, you can equip specific agents in your swarm with the MCP Server tools. A dedicated financial agent handles the API calls and shares the results with the rest of the chat.

The `McpToolAdapter` takes care of all schema translations behind the scenes. Your agents instantly understand the required parameters for complex endpoints like `create_customer_record`.

That is the core strength of the framework. One agent fetches the data, and multiple personas can argue over the root causes of the churn before presenting a final summary to the user.

Isolation is guaranteed by the Vinkius V8 Isolate architecture. Your API keys and the resulting ARR or MRR histories remain strictly confined to your specific AutoGen session and never cross over to other instances.

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