Correios API (REST) MCP Server for LangChainGive LangChain instant access to 2 tools to Calculate Price Deadline and Track Object
LangChain is the leading Python framework for composable LLM applications. Connect Correios API (REST) 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 for LangChain
The Correios API (REST) MCP Server for LangChain is a standout in the Ecommerce category — giving your AI agent 2 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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({
"correios-api-rest": {
"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 Correios API (REST), 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 Correios API (REST) MCP Server
Connect your AI agent to the Correios infrastructure to automate logistics queries in Brazil. This server provides direct access to the official REST API for real-time tracking and shipping simulations.
LangChain's ecosystem of 500+ components combines seamlessly with Correios API (REST) through native MCP adapters. Connect 2 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
- Object Tracking — Get the full history of events and current status for any valid tracking code (e.g., AA123456789BR) using the
track_objecttool. - Shipping Calculation — Simulate prices and delivery deadlines for various services like SEDEX and PAC based on weight, dimensions, and zip codes with
calculate_price_deadline. - Logistics Automation — Integrate shipping data into your e-commerce or support workflows without manual lookups.
The Correios API (REST) MCP Server exposes 2 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 2 Correios API (REST) tools available for LangChain
When LangChain connects to Correios API (REST) through Vinkius, your AI agent gets direct access to every tool listed below — spanning correios, brazil-logistics, tracking-api, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Calculate price deadline on Correios API (REST)
Uses POST but acts as a query. Calculate shipping price and deadline
Track object on Correios API (REST)
Track a postal object
Connect Correios API (REST) to LangChain via MCP
Follow these steps to wire Correios API (REST) into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Correios API (REST) MCP Server
LangChain provides unique advantages when paired with Correios API (REST) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Correios API (REST) 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 Correios API (REST) queries for multi-turn workflows
Correios API (REST) + LangChain Use Cases
Practical scenarios where LangChain combined with the Correios API (REST) MCP Server delivers measurable value.
RAG with live data: combine Correios API (REST) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Correios API (REST), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Correios API (REST) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Correios API (REST) tool call, measure latency, and optimize your agent's performance
Example Prompts for Correios API (REST) in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Correios API (REST) immediately.
"Track the object with code NL123456789BR."
"Calculate SEDEX shipping from 01001-000 to 22041-001 for a 500g box (20x15x10cm)."
"What is the current status of my package AA987654321BR?"
Troubleshooting Correios API (REST) MCP Server with LangChain
Common issues when connecting Correios API (REST) to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCorreios API (REST) + LangChain FAQ
Common questions about integrating Correios API (REST) 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?
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