How to Use the Cheddar MCP in AutoGen

Let your AutoGen agents debate pricing plans and apply charges using the Cheddar MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Cheddar MCP to AutoGen

Create your Vinkius account to connect Cheddar 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.

GDPR Free for Subscribers

Setup Cheddar with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Multi-agent billing validation in AutoGen

`get_cheddar_customer_details` allows your customer service agent to pull subscription tiers, while a separate billing agent checks for overdue balances. The agents discuss the account status before deciding whether to enable premium features. Using `list_cheddar_customers` alongside this flow helps the team of agents coordinate bulk updates. One agent lists the accounts, another validates their usage, and a third applies any necessary billing updates.

Consensus-driven charge application

`add_cheddar_charge` is executed only after your AutoGen agents reach a consensus on the correct usage metrics. A tracking agent calculates the API usage, a billing agent verifies the pricing tier, and they agree on the final amount. This multi-agent debate prevents incorrect billing events. By querying `list_cheddar_plans` first, the agents verify that the charge matches the customer's current contract limits before executing the write operation.

Automated invoice dispute resolution

`list_cheddar_invoices` gives your support agent the raw history needed to address billing complaints. The agent compares the disputed invoice against the transaction logs retrieved by `list_cheddar_transactions`. A supervisor agent reviews the proposed resolution. Once both agents agree that the invoice and transaction logs match, they can trigger `list_cheddar_promotions` to find and apply a goodwill discount code.

Setup guide

Set up Cheddar 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 Cheddar 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="Cheddar_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Cheddar 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="Cheddar_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Cheddar now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Cheddar MCP in AutoGen

You use the AutoGen MCP tool adapter to convert the server schema. Pass the Vinkius endpoint URL to the streamable server parameters, then register the resulting tools list directly with your assistant agent.

They can. Your agents discuss the customer's usage data retrieved from `get_cheddar_product_info` and negotiate the best plan to recommend before calling any write tools.

The Vinkius gateway handles queueing and execution of all concurrent requests. Whether one agent checks `list_cheddar_invoices` while another runs `list_cheddar_transactions`, the calls execute reliably in parallel.

Standard scripts fail when encountering edge cases or complex customer contracts. AutoGen agents can reason through tricky billing disputes by reviewing pricing plans and transaction histories together.

Your payment transactions and invoice records are never stored by Vinkius. The MCP Server operates inside an ephemeral sandbox, passing encrypted data directly to your local agent session and discarding it immediately after.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript