Can I record a new usage event for a customer?

Yes! Use the `add_cheddar_charge` tool with the customer code, charge code (tracked item), and quantity. The agent will record the usage in Cheddar immediately.

How do I see the billing history for a specific person?

Use the `get_cheddar_customer_details` tool with the unique customer code. Your agent will fetch the full record, including active plans, status, and associated invoices.

Where do I find my Product Secret and Product Code?

Log in to your Cheddar dashboard and look for 'Product Settings'. You can view and copy your unique Product Code and generate a Secret Key from there.

Cheddar MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Cheddar
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Cheddar through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Cheddar "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Cheddar?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every Cheddar tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Cheddar MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from Cheddar with type-safe schemas

Why Use Pydantic AI with the Cheddar MCP Server

Pydantic AI provides unique advantages when paired with Cheddar through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Cheddar integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Cheddar connection logic from agent behavior for testable, maintainable code

Cheddar + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Cheddar MCP Server delivers measurable value.

Type-safe data pipelines: query Cheddar with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Cheddar tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Cheddar and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Cheddar responses and write comprehensive agent tests

Cheddar MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Cheddar to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Cheddar to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Cheddar + Pydantic AI FAQ

Common questions about integrating Cheddar MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Cheddar MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.