Can I check my total number of supporters using the agent?

Yes! Use the `get_account_stats` tool. Your agent will fetch the core statistics, including the total count of supporters from your Buy Me A Coffee account.

How do I list all my active membership subscriptions?

Simply ask the agent to `list_memberships`. It will retrieve the list of all active and inactive subscriptions from your Buy Me A Coffee account, including payer names and emails.

Does the integration allow creating a new post?

The current toolset is focused on querying and monitoring (Read-Only) for safety and data retrieval. Creating or updating posts should be managed through the Buy Me A Coffee creator dashboard.

Buy Me A Coffee MCP Server for Pydantic AI 5 tools — connect in under 2 minutes

Name: Buy Me A Coffee
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 5 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Buy Me A Coffee through 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 Buy Me A Coffee "
            "(5 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Buy Me A Coffee?"
    )
    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 Buy Me A Coffee MCP Server

Connect your Buy Me A Coffee account to any AI agent and orchestrate your creator workflows, supporter relations, and monetization through natural conversation.

Pydantic AI validates every Buy Me A Coffee tool response against typed schemas, catching data inconsistencies at build time. Connect 5 tools through 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

Supporter Oversight — List and retrieve detailed metadata for all your supporters, including one-time and recurring members.
Membership Management — List all active and inactive memberships to track your recurring revenue stream.
Digital Product Tracking — Retrieve information about 'Extras' (digital products or services) purchased through your page.
Content Monitoring — Access and list your blog posts to verify what has been shared with your audience.
Account Statistics — Retrieve core account information and total supporter counts straight from your workspace.
Interaction Tracking — Get detailed data for specific supporter or subscription IDs using natural language.

The Buy Me A Coffee MCP Server exposes 5 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 Buy Me A Coffee to Pydantic AI via MCP

Follow these steps to integrate the Buy Me A Coffee 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 5 tools from Buy Me A Coffee with type-safe schemas

Why Use Pydantic AI with the Buy Me A Coffee MCP Server

Pydantic AI provides unique advantages when paired with Buy Me A Coffee 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 Buy Me A Coffee integration code

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

Dependency injection system cleanly separates your Buy Me A Coffee connection logic from agent behavior for testable, maintainable code

Buy Me A Coffee + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Buy Me A Coffee MCP Server delivers measurable value.

Type-safe data pipelines: query Buy Me A Coffee with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Buy Me A Coffee tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Buy Me A Coffee and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Buy Me A Coffee responses and write comprehensive agent tests

Buy Me A Coffee MCP Tools for Pydantic AI (5)

These 5 tools become available when you connect Buy Me A Coffee to Pydantic AI via MCP:

get_account_stats

Retrieve core account statistics

list_extras

List digital products (extras) purchased

list_memberships

List all active and inactive memberships

list_posts

List blog posts from your page

list_supporters

List all supporters (one-time and members)

Example Prompts for Buy Me A Coffee in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Buy Me A Coffee immediately.

"List all my supporters in Buy Me A Coffee."

"Show my active membership subscriptions."

"List the digital products (extras) I have available."

Troubleshooting Buy Me A Coffee MCP Server with Pydantic AI

Common issues when connecting Buy Me A Coffee to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Buy Me A Coffee + Pydantic AI FAQ

Common questions about integrating Buy Me A Coffee 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 Buy Me A Coffee MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.