How to Use the Ko-fi MCP in LangChain

Q: Can I trace Ko-fi transaction fetches in LangChain using LangSmith?

Yes, every time your LangChain agent calls the listtransactions tool, LangSmith logs the full payload. You can inspect the latency, token count, and raw JSON response of your Ko-fi donations in your LangSmith dashboard.

Run your LangChain agents on live Ko-fi donation data with this MCP server to automate creator payouts and shop order tracking.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Ko-fi MCP to LangChain

Create your Vinkius account to connect Ko-fi to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Ko-fi with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain Ko-fi data with other APIs using LangChain

The `list_transactions` tool pulls your latest Ko-fi donations directly into your active LangChain execution chain. Your LangChain agent reads this raw Ko-fi transaction history to trigger downstream tasks like emailing digital products. Because this runs inside a LangChain pipeline, you can pass the Ko-fi transaction output straight to your database tools. This setup lets your LangChain agent handle Ko-fi order reconciliation on the fly.

Trace Ko-fi MCP Server calls in LangSmith

The `list_transactions` tool sends structured Ko-fi transaction payloads that LangSmith traces automatically during execution. You see every single Ko-fi donation fetch, including exact latency and token usage, right in your LangChain debugger. No more guessing why a Ko-fi buyer didn't get their digital download since the LangChain execution trace is right there.

Let ReAct agents decide when to pull transaction logs

The `list_transactions` tool lets your LangChain agent decide if a specific Ko-fi user has paid their subscription. Instead of hardcoding polling intervals, the LangChain agent evaluates the user's prompt and fetches the Ko-fi ledger only when needed. This dynamic execution keeps your API usage low while ensuring your LangChain agent always works with fresh Ko-fi financial records. It turns a static list of Ko-fi donations into a smart, context-aware LangChain support system.

Setup guide

Set up Ko-fi MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Ko-fi tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "ko-fi-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Ko-fi transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Ko-fi. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Ko-fi now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Ko-fi MCP in LangChain

You use the MultiServerMCPClient to connect to the server, then call client.get_tools() to extract the list_transactions tool. Pass this tool list directly into your create_agent call to let your LangChain agent query your Ko-fi transaction history.

Yes, every time your LangChain agent calls the list_transactions tool, LangSmith logs the full payload. You can inspect the latency, token count, and raw JSON response of your Ko-fi donations in your LangSmith dashboard.

LangChain relies on your custom run-time configuration or agent loops to handle pacing. Since the list_transactions tool returns raw transaction data, you should add exponential backoff in your chain logic to avoid hitting Ko-fi API limits.

Absolutely, because LangChain supports multi-server aggregation. You can run this MCP server alongside a PostgreSQL tool, letting your LangChain agent fetch Ko-fi sales first and then write them to your database.

Your Ko-fi donations, subscriptions, and shop orders are processed entirely within an isolated V8 sandbox. Vinkius never stores your transaction payloads, and your API credentials are encrypted at rest, ensuring your financial logs remain completely private.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript