Can I cancel a customer subscription directly from chat?

Yes. The agent leverages the `cancel_subscription` tool to stop recurring plans natively. You can instruct the agent to cancel it "immediately" or "at the next_billing_period" according to Paddle's API logical boundaries.

How do I fetch the exact localized checkout prices?

The `list_catalog_prices` query extracts the complete Price definitions from your Paddle system. It details the billing frequency, currency boundaries, tax-inclusiveness flags, and item descriptions seamlessly.

Is Paddle Classic Supported or is this for Paddle Billing?

This integration targets the modern Paddle Billing REST API which leverages robust structural objects (like Customers, Businesses, and Subscriptions) ensuring clean MoR tax boundaries and granular item mappings.

Paddle MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Paddle
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Paddle 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({
        "paddle": {
            "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 Paddle, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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About Paddle MCP Server

Bring the Paddle Billing API directly into your AI workflows. Acting as your Merchant of Record (MoR) interface, this integration allows your agent to seamlessly query customer billing states, manage SaaS subscriptions, retrieve invoice ledgers, and pause actively churning plans natively.

LangChain's ecosystem of 500+ components combines seamlessly with Paddle through native MCP adapters. Connect 10 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

Customers & Billing Details — List and search all CRM accounts managed by Paddle and extract their exact tax identification boundaries
Subscription Lifecycle — Inspect active or past-due subscriptions, cancel recurring flows dynamically, or pause an active schedule right from chat
Transactions & Ledgering — Fetch bulk atomic transactions matching exact one-off payments, prorations, and historical subscription renewals
Catalog Explorer — List your products and retrieve localized checkout prices and native tax-inclusive pricing definitions

The Paddle MCP Server exposes 10 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 Paddle to LangChain via MCP

Follow these steps to integrate the Paddle 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 10 tools from Paddle via MCP

Why Use LangChain with the Paddle MCP Server

LangChain provides unique advantages when paired with Paddle through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Paddle 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 Paddle queries for multi-turn workflows

Paddle + LangChain Use Cases

Practical scenarios where LangChain combined with the Paddle MCP Server delivers measurable value.

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

Autonomous research agents: LangChain agents query Paddle, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Paddle tools with web scrapers, databases, and calculators in a single agent run

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

Paddle MCP Tools for LangChain (10)

These 10 tools become available when you connect Paddle to LangChain via MCP:

cancel_subscription

Can be set to effective immediately or at the end of the current billing period. Cancel an active subscription

get_customer_details

Get details for a specific customer

get_subscription_details

Get details for a specific subscription

get_transaction_details

Get details for a specific transaction

list_catalog_prices

List all pricing definitions

list_catalog_products

List all products

list_customers

List all customers in Paddle

list_subscriptions

List all subscriptions

list_transactions

List all billing transactions

pause_subscription

Pause an active subscription

Example Prompts for Paddle in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Paddle immediately.

"Find the subscription details for sub_01h9z2..."

"List our most recent revenue transactions on Paddle."

"Cancel subscription sub_active123 at the end of the billing cycle."

Troubleshooting Paddle MCP Server with LangChain

Common issues when connecting Paddle to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Paddle + LangChain FAQ

Common questions about integrating Paddle 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.