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 LangChain 5 tools — connect in under 2 minutes

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

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 5 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Buy Me A Coffee through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "buy-me-a-coffee": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Buy Me A Coffee, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Buy Me A Coffee through native MCP adapters. Connect 5 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Buy Me A Coffee MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 5 tools from Buy Me A Coffee via MCP

Why Use LangChain with the Buy Me A Coffee MCP Server

LangChain provides unique advantages when paired with Buy Me A Coffee through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Buy Me A Coffee MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Buy Me A Coffee queries for multi-turn workflows

Buy Me A Coffee + LangChain Use Cases

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

RAG with live data: combine Buy Me A Coffee tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Buy Me A Coffee, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Buy Me A Coffee tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Buy Me A Coffee tool call, measure latency, and optimize your agent's performance

Buy Me A Coffee MCP Tools for LangChain (5)

These 5 tools become available when you connect Buy Me A Coffee to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Buy Me A Coffee + LangChain FAQ

Common questions about integrating Buy Me A Coffee MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.