PagBank PagSeguro MCP Server for LangChain 9 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect PagBank PagSeguro through the 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({
"pagbank-pagseguro": {
"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 PagBank PagSeguro, 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 PagBank PagSeguro MCP Server
Connect PagBank (PagSeguro) to any AI agent and unlock Brazil's leading payment solutions — generate Pix QR codes, Boleto payments, and checkout links for credit cards through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with PagBank PagSeguro through native MCP adapters. Connect 9 tools via the 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
- Instant Pix — Generate Pix payments with QR Code data for instant confirmation
- Boleto Generation — Create Boleto Bancário for customers without credit cards
- Checkout Links — Generate payment links that support Credit Card installments
- Transaction Search — Find payments by date range or reference code
- Refunds — Cancel transactions (full or partial) easily
- Account Balance — Check your current available balance
- Installments — Calculate credit card installment options
The PagBank PagSeguro MCP Server exposes 9 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 PagBank PagSeguro to LangChain via MCP
Follow these steps to integrate the PagBank PagSeguro 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 9 tools from PagBank PagSeguro via MCP
Why Use LangChain with the PagBank PagSeguro MCP Server
LangChain provides unique advantages when paired with PagBank PagSeguro through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine PagBank PagSeguro 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 PagBank PagSeguro queries for multi-turn workflows
PagBank PagSeguro + LangChain Use Cases
Practical scenarios where LangChain combined with the PagBank PagSeguro MCP Server delivers measurable value.
RAG with live data: combine PagBank PagSeguro tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query PagBank PagSeguro, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain PagBank PagSeguro tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every PagBank PagSeguro tool call, measure latency, and optimize your agent's performance
PagBank PagSeguro MCP Tools for LangChain (9)
These 9 tools become available when you connect PagBank PagSeguro to LangChain via MCP:
cancel_transaction
If amount is provided, performs partial cancellation. Cancel a transaction (full or partial refund)
create_boleto_payment
Generate a Boleto payment
create_checkout_link
Returns a code and a URL. Create a payment link (checkout) for multiple items
create_pix_payment
Create an instant Pix payment
get_balance
Get the current account balance
get_installment_options
Get installment options for a card brand
get_order
Get details of an order by ID
get_transaction
Get details of a transaction by code
search_transactions
Search for transactions by date range
Example Prompts for PagBank PagSeguro in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with PagBank PagSeguro immediately.
"Create a Pix payment of R$99.90 for reference 'ORDER-001'."
"Show me the balance of my account."
"Cancel transaction 12345-ABCDE-67890."
Troubleshooting PagBank PagSeguro MCP Server with LangChain
Common issues when connecting PagBank PagSeguro to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersPagBank PagSeguro + LangChain FAQ
Common questions about integrating PagBank PagSeguro 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 PagBank PagSeguro 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 PagBank PagSeguro to LangChain
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.