2,500+ MCP servers ready to use
Vinkius

Pagar.me MCP Server for LangChain 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools Framework

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.

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({
        "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())
Pagar.me
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

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.

01

The largest ecosystem of integrations, chains, and agents. combine Pagar.me MCP tools with 500+ LangChain components

02

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

03

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

04

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.

01

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

02

Autonomous research agents: LangChain agents query Pagar.me, synthesize findings, and generate comprehensive research reports

03

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

04

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:

01

cancel_order

Cancel an order

02

capture_order

Capture an authorized order

03

create_boleto_order

Create an order paid via Boleto

04

create_customer

Document can be CPF or CNPJ. Register a new customer

05

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

06

create_pix_order

Expires in 1 hour. Create an order paid via Pix

07

create_subscription

Create a recurring subscription for a customer

08

get_customer

Get customer details

09

get_order

Get details of a specific order

10

get_subscription

Get subscription details

11

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.

01

"Create a Pix order for R$50.00 for customer João Silva."

02

"Show me the last 5 orders."

03

"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.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Pagar.me + LangChain FAQ

Common questions about integrating Pagar.me MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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.