How to Use the Lemon Squeezy (Merchant of Record & Payments) MCP in Pydantic AI
Ensure type-safe billing actions with Pydantic AI and this Lemon Squeezy MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Lemon Squeezy (Merchant of Record & Payments) MCP to Pydantic AI
Create your Vinkius account to connect Lemon Squeezy (Merchant of Record & Payments) to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Type-safe checkout and customer creation with Pydantic AI
Stop worrying about silent API failures or malformed payloads in your billing loops. Pydantic AI validates every single response from `create_checkout` and `create_customer` against strict Python types before your code can even process them. If the billing API returns a format you didn't expect, the framework raises a loud validation error immediately. This strict approach protects your checkout flow from corrupted data and ensures your customers get clean checkout URLs.
Reliable subscription tracking inside your MCP Server
Track user consumption without risking database drift. Your agent can query usage metrics using `get_subscription_item_current_usage` and push updates via `create_usage_record` with guaranteed type safety. Because the framework is model-agnostic, you can swap your underlying LLM whenever you want. The tool outputs from `get_subscription_item` and `list_subscription_items` will remain perfectly structured and validated.
Bulletproof license validation workflows
Secure your software distribution with validated license checks. Your agent can run `validate_license` or `get_license_key` to confirm a user's purchase status and parse the return object safely into your application state. If an invalid key is processed, the system catches it at the schema level before executing any downstream logic. You can also run `activate_license` to bind keys to specific machines with complete confidence.
Set up Lemon Squeezy (Merchant of Record & Payments) MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"lemon-squeezy-merchant-of-record-payments-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Lemon Squeezy (Merchant of Record & Payments) tools.",
)
result = await agent.run("List recent Lemon Squeezy (Merchant of Record & Payments) transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lemon Squeezy. 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.
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Real-time monitoring
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Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
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One
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Common questions about Lemon Squeezy (Merchant of Record & Payments) MCP in Pydantic AI
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