Conta Azul MCP Server for LangChain 15 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Conta Azul 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({
"conta-azul": {
"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 Conta Azul, 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 Conta Azul MCP Server
Connect your Conta Azul account to any AI agent and take full control of your Brazilian business ERP and financial management through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Conta Azul through native MCP adapters. Connect 15 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
- Customer Management — List and search for customers (PJ/PF), audit fiscal documents (CNPJ/CPF), and create new financial entities natively
- Inventory & Services — Map physical products (SKU) and intangible services, retrieve pricing, units of measure, and create new billable components
- Sales Monitoring — List continuous logs of confirmed sales, retrieve detailed accounting matrices for units, and verify invoice statuses
- Recurrence Tracking — Audit financial contracts and automatic agreements to monitor monthly/annual technical debt and expiration dates
- Fiscal Compliance (NF-e) — Retrieve governmental emissions records (NF-e) and validate SEFAZ approval statuses for product invoices
- Financial Structure — Access hierarchical category trees (DRE) and map bank accounts to reconcile monetary positions and internal cash flow
The Conta Azul MCP Server exposes 15 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 Conta Azul to LangChain via MCP
Follow these steps to integrate the Conta Azul 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 15 tools from Conta Azul via MCP
Why Use LangChain with the Conta Azul MCP Server
LangChain provides unique advantages when paired with Conta Azul through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Conta Azul 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 Conta Azul queries for multi-turn workflows
Conta Azul + LangChain Use Cases
Practical scenarios where LangChain combined with the Conta Azul MCP Server delivers measurable value.
RAG with live data: combine Conta Azul tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Conta Azul, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Conta Azul tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Conta Azul tool call, measure latency, and optimize your agent's performance
Conta Azul MCP Tools for LangChain (15)
These 15 tools become available when you connect Conta Azul to LangChain via MCP:
create_customer
Injetar novo registro financeiro PF/PJ definindo estrutura formal dentro do ERP
create_product
Mapear bens tangíveis definindo novos componentes faturáveis em Real financeiro
create_service
Inserir prestação ativa intangível estritamente precificada na contabilidade
get_customer
Extrair perfil estático financeiro via UUID rastreando limites PF/PJ explícitos
get_product
Ler dados de um item físico individual incluindo limite e unidade de medida
get_sale
Visualizar blocos confirmados incluindo matrizes exatas contábeis da venda UUID
list_bank_accounts
Mapear bancos físicos conciliando integração extraindo posições monetárias
list_categories
g. Despesas, Receitas) que formam a espinha dorsal de DRE validada base ContaAzul. Determinar limites contábeis de Plano Analítico nativo classificando recursos
list_contracts
Pesquisar recorrências atestando acordos automáticos limitando vencimentos
list_customers
Listar base de clientes paginada extraindo entidades corporativas no ERP
list_nfe
Buscar listagem governamental acoplada de emissões NF (Notas de Produto)
list_products
Mapear itens físicos catalogados incluindo valores de SKU extraídos estaticamente
list_sales
Listar logs contínuos extraídos avaliando faturas pendentes emitidas no fluxo
list_services
Ler prestação categorizada cobrável na estrutura contábil faturada paginada
search_customers
Pesquisar perfis corporativos/fiscais comparando documentos restritos via CPF/CNPJ
Example Prompts for Conta Azul in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Conta Azul immediately.
"Search for customer with CNPJ '12.345.678/0001-90'"
"List the last 5 sales"
"Check the status of my NF-e emissions for this month"
Troubleshooting Conta Azul MCP Server with LangChain
Common issues when connecting Conta Azul to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersConta Azul + LangChain FAQ
Common questions about integrating Conta Azul 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 Conta Azul 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 Conta Azul to LangChain
Get your token, paste the configuration, and start using 15 tools in under 2 minutes. No API key management needed.
