How do I get my Gumroad Access Token?

Log in to your Gumroad account, navigate to **Settings > Advanced**, and scroll down to the 'Application' section to create an application or generate a personal access token.

Can I verify customer license keys through this integration?

Yes! Use the `verify_license` tool by providing the `product_id` and the `license_key` provided by the customer. The agent will confirm if the key is valid and how many times it has been used.

Does this integration support processing refunds?

Yes, you can use the `refund_sale` tool with a specific sale ID to initiate a refund directly from your AI agent.

Is my sales data secure?

Absolutely. The integration uses OAuth 2.0 Bearer tokens and communicates only with Gumroad's official API over HTTPS. Your token is encrypted and stored securely in the Vinkius Cloud.

Gumroad MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Gumroad
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Gumroad 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 Gumroad "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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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 Gumroad MCP Server

Connect your Gumroad creator account to any AI agent and take full control of your digital store and sales data through natural conversation.

Pydantic AI validates every Gumroad tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

Product Management — List all products in your store, retrieve detailed descriptions, and check pricing information.
Sales Monitoring — Access your sales history, inspect individual transactions, and track revenue growth.
License Verification — Instantly verify license keys for software, courses, or digital assets directly from the chat.
Refund Handling — Process refunds for specific sales efficiently without manual dashboard navigation.
Subscriber Insights — Retrieve your subscriber lists to better understand your audience and growth.
Payout Tracking — Monitor your payout history and account balances seamlessly.

The Gumroad MCP Server exposes 10 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 Gumroad to Pydantic AI via MCP

Follow these steps to integrate the Gumroad 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 10 tools from Gumroad with type-safe schemas

Why Use Pydantic AI with the Gumroad MCP Server

Pydantic AI provides unique advantages when paired with Gumroad 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 Gumroad integration code

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

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

Gumroad + Pydantic AI Use Cases

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

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

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

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

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

Gumroad MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Gumroad to Pydantic AI via MCP:

get_my_profile

Get information about your Gumroad user profile

get_product

Get detailed information about a specific product

get_sale

Get detailed information about a specific sale

list_payers

List customers who have purchased from you

list_payouts

List your Gumroad payouts history

list_products

List all products in your Gumroad account

list_sales

List all sales/transactions

list_subscribers

List all subscribers to your products or newsletters

refund_sale

Refund a specific sale

verify_license

Verify a license key for a specific product

Example Prompts for Gumroad in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Gumroad immediately.

"List all products in my Gumroad store."

"Show me the sales history for the last 24 hours."

"Verify license key ABC-123 for the DevOps Toolkit."

Troubleshooting Gumroad MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Gumroad + Pydantic AI FAQ

Common questions about integrating Gumroad 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 Gumroad MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.