Getpaid MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Getpaid through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"getpaid": {
"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 Getpaid, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 Getpaid MCP Server
Connect your Getpaid account to any AI agent to automate your billing, payment processing, and checkout workflows through the Model Context Protocol (MCP). Getpaid is a modern payment platform designed for SaaS, marketplaces, and service businesses to handle global transactions with ease. This MCP server enables you to track payments, manage customer records, and initiate new checkout sessions directly through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Getpaid through native MCP adapters. Connect 12 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.
Key Features
- Payment Oversight — List all processed payments, fetch detailed metadata including status and timestamps, and monitor revenue flow instantly.
- Checkout Automation — Create new checkout sessions for products or services and retrieve secure payment links programmatically.
- Refund Management — Process full or partial refunds for captured payments directly from your chat interface.
- Customer & Invoice Tracking — Access your billing database, retrieve detailed customer profiles, and monitor generated invoices.
- Subscription Insights — List active and inactive recurring billing plans to understand your long-term revenue health.
- Webhook Visibility — Monitor configured webhooks to ensure your internal systems are receiving real-time payment notifications.
- Real-time Synchronization — Keep your financial operations accessible to your AI assistant without leaving your primary workspace.
The Getpaid MCP Server exposes 12 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 Getpaid to LangChain via MCP
Follow these steps to integrate the Getpaid 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 12 tools from Getpaid via MCP
Why Use LangChain with the Getpaid MCP Server
LangChain provides unique advantages when paired with Getpaid through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Getpaid 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 Getpaid queries for multi-turn workflows
Getpaid + LangChain Use Cases
Practical scenarios where LangChain combined with the Getpaid MCP Server delivers measurable value.
RAG with live data: combine Getpaid tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Getpaid, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Getpaid tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Getpaid tool call, measure latency, and optimize your agent's performance
Getpaid MCP Tools for LangChain (12)
These 12 tools become available when you connect Getpaid to LangChain via MCP:
create_checkout_session
Initiate checkout
get_account_details
Get account identity
get_checkout_status
Check checkout status
get_customer_details
Get customer metadata
get_payment_details
Get payment metadata
list_billing_customers
List customers
list_billing_invoices
List invoices
list_billing_payments
List all payments
list_billing_subscriptions
List recurring plans
list_payment_webhooks
List webhook configs
refund_billing_payment
Process a refund
verify_api_connection
Check connection
Example Prompts for Getpaid in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Getpaid immediately.
"List all payments processed today."
"Create a checkout session for $25.00 USD."
"Refund payment 'pay_98765' for the full amount."
Troubleshooting Getpaid MCP Server with LangChain
Common issues when connecting Getpaid to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersGetpaid + LangChain FAQ
Common questions about integrating Getpaid MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect Getpaid with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Getpaid to LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
