Asaas MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Asaas 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({
"asaas": {
"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 Asaas, 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 Asaas MCP Server
The Asaas MCP Server provides a powerful natural language interface to your Asaas digital account. Specifically designed for Brazilian businesses, this integration allows your AI agent to manage your entire billing cycle, from customer registration to payment collection and financial transfers.
LangChain's ecosystem of 500+ components combines seamlessly with Asaas through native MCP adapters. Connect 8 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
- Billing Management — Create and list payments via Boleto, Credit Card, and PIX with automated status tracking.
- Customer Inventory — Manage your customer base, including CPF/CNPJ verification and contact details synchronization.
- Subscription Automation — Monitor active recurring billings and subscription statuses for your clients.
- Financial Oversight — Check your account balance and track transfers in real-time.
- Workflow Integration — Seamlessly connect your payment operations with your AI-assisted support and sales processes.
- Secure API Access — Uses the Asaas
access_tokenfor authenticated communication and supports sandbox mode for safe testing.
The Asaas MCP Server exposes 8 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 Asaas to LangChain via MCP
Follow these steps to integrate the Asaas 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 8 tools from Asaas via MCP
Why Use LangChain with the Asaas MCP Server
LangChain provides unique advantages when paired with Asaas through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Asaas 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 Asaas queries for multi-turn workflows
Asaas + LangChain Use Cases
Practical scenarios where LangChain combined with the Asaas MCP Server delivers measurable value.
RAG with live data: combine Asaas tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Asaas, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Asaas tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Asaas tool call, measure latency, and optimize your agent's performance
Asaas MCP Tools for LangChain (8)
These 8 tools become available when you connect Asaas to LangChain via MCP:
create_customer
Register a new customer in Asaas
create_payment
Create a new payment (charge) for a customer
get_account_check
Verify Asaas account connection
get_balance
Get current financial balance in Asaas
list_customers
List all registered customers in Asaas
list_payments
List all payments (charges)
list_subscriptions
List all active subscriptions
list_transfers
List all financial transfers
Example Prompts for Asaas in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Asaas immediately.
"Show me my current Asaas balance."
"List the last 5 payments received."
"Create a PIX charge of R$ 100 for customer 'cus_12345' due tomorrow."
Troubleshooting Asaas MCP Server with LangChain
Common issues when connecting Asaas to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAsaas + LangChain FAQ
Common questions about integrating Asaas 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 Asaas 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 Asaas to LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.