Pagar.me MCP Server for LangChain 11 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Pagar.me 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({
"pagarme": {
"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 Pagar.me, 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 Pagar.me MCP Server
Connect Pagar.me to any AI agent and unlock a powerful Brazilian payment infrastructure — create orders with Pix, Boleto, or Credit Card, manage recurring subscriptions, and track transactions through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Pagar.me through native MCP adapters. Connect 11 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
- Order Creation — Create orders for single items with multiple payment methods
- Pix Payments — Generate instant Pix QR Codes for immediate payment
- Boleto Generation — Create Boleto Bancário with custom due dates
- Subscriptions — Set up recurring billing for services
- Customer Management — Register customers and view their history
- Transaction Tracking — List orders and check their status
The Pagar.me MCP Server exposes 11 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 Pagar.me to LangChain via MCP
Follow these steps to integrate the Pagar.me 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 11 tools from Pagar.me via MCP
Why Use LangChain with the Pagar.me MCP Server
LangChain provides unique advantages when paired with Pagar.me through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Pagar.me 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 Pagar.me queries for multi-turn workflows
Pagar.me + LangChain Use Cases
Practical scenarios where LangChain combined with the Pagar.me MCP Server delivers measurable value.
RAG with live data: combine Pagar.me tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Pagar.me, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Pagar.me tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Pagar.me tool call, measure latency, and optimize your agent's performance
Pagar.me MCP Tools for LangChain (11)
These 11 tools become available when you connect Pagar.me to LangChain via MCP:
cancel_order
Cancel an order
capture_order
Capture an authorized order
create_boleto_order
Create an order paid via Boleto
create_customer
Document can be CPF or CNPJ. Register a new customer
create_order
Items and Customer are required. You can add custom payments array or use the Pix/Boleto helpers. Create a new order with credit card or custom payments
create_pix_order
Expires in 1 hour. Create an order paid via Pix
create_subscription
Create a recurring subscription for a customer
get_customer
Get customer details
get_order
Get details of a specific order
get_subscription
Get subscription details
list_orders
List recent orders
Example Prompts for Pagar.me in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Pagar.me immediately.
"Create a Pix order for R$50.00 for customer João Silva."
"Show me the last 5 orders."
"Create a monthly subscription of R$99.90 for customer 123 on plan 456."
Troubleshooting Pagar.me MCP Server with LangChain
Common issues when connecting Pagar.me to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersPagar.me + LangChain FAQ
Common questions about integrating Pagar.me 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 Pagar.me 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 Pagar.me to LangChain
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
