Cheddar MCP Server for AutoGen 8 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Cheddar as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="cheddar_agent",
tools=tools,
system_message=(
"You help users with Cheddar. "
"8 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Cheddar MCP Server
Connect your Cheddar (formerly CheddarGetter) account to any AI agent and take full control of your recurring and usage-based billing through natural conversation. Streamline how you manage subscriptions and tracked items.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Cheddar tools. Connect 8 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Customer Oversight — List and retrieve details for all active and inactive customers natively
- Plan Management — Access and monitor available pricing plans and their configurations flawlessly
- Usage Tracking — Add one-time or quantity-based charges to customer accounts securely
- Invoice Intelligence — List and retrieve details for recent customer invoices and billing history flawlessly
- Transaction Auditing — Access and monitor all billing transactions and payment statuses securely
- Product Analytics — Retrieve core product information, configuration metadata, and active promotions flawlessly
The Cheddar MCP Server exposes 8 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Cheddar to AutoGen via MCP
Follow these steps to integrate the Cheddar MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 8 tools from Cheddar automatically
Why Use AutoGen with the Cheddar MCP Server
AutoGen provides unique advantages when paired with Cheddar through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Cheddar tools to solve complex tasks
Role-based architecture lets you assign Cheddar tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Cheddar tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Cheddar tool responses in an isolated environment
Cheddar + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Cheddar MCP Server delivers measurable value.
Collaborative analysis: one agent queries Cheddar while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Cheddar, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Cheddar data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Cheddar responses in a sandboxed execution environment
Cheddar MCP Tools for AutoGen (8)
These 8 tools become available when you connect Cheddar to AutoGen via MCP:
add_cheddar_charge
Add a one-time or quantity-based charge to a customer
get_cheddar_customer_details
Get detailed information for a specific customer
get_cheddar_product_info
Retrieve core product and configuration information
list_cheddar_customers
List all customers for the product
list_cheddar_invoices
List recent customer invoices
list_cheddar_plans
List all available pricing plans
list_cheddar_promotions
List active promotions and coupons
list_cheddar_transactions
List recent billing transactions
Example Prompts for Cheddar in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Cheddar immediately.
"Show me the last 5 invoices in Cheddar."
"Add 10 units of usage for customer 'ACME-123' under charge code 'API_CALLS'."
"List all my available pricing plans in Cheddar."
Troubleshooting Cheddar MCP Server with AutoGen
Common issues when connecting Cheddar to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Cheddar + AutoGen FAQ
Common questions about integrating Cheddar MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Cheddar with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Cheddar to AutoGen
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
