Correios API (REST) MCP Server for LlamaIndexGive LlamaIndex instant access to 2 tools to Calculate Price Deadline and Track Object

Name: Correios API (REST)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Correios API (REST) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The Correios API (REST) MCP Server for LlamaIndex is a standout in the Ecommerce category — giving your AI agent 2 tools to work with, ready to go from day one.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Correios API (REST). "
            "You have 2 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Correios API (REST)?"
    )
    print(response)

asyncio.run(main())

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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.

LlamaIndex agents combine Correios API (REST) tool responses with indexed documents for comprehensive, grounded answers. Connect 2 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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_object tool.
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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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

Calculate price deadline on Correios API (REST)

Uses POST but acts as a query. Calculate shipping price and deadline

track

Track object on Correios API (REST)

Track a postal object

Connect Correios API (REST) to LlamaIndex via MCP

Follow these steps to wire Correios API (REST) into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 2 tools from Correios API (REST)

Why Use LlamaIndex with the Correios API (REST) MCP Server

LlamaIndex provides unique advantages when paired with Correios API (REST) through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Correios API (REST) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Correios API (REST) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Correios API (REST), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Correios API (REST) tools were called, what data was returned, and how it influenced the final answer

Correios API (REST) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Correios API (REST) MCP Server delivers measurable value.

Hybrid search: combine Correios API (REST) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Correios API (REST) to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Correios API (REST) for fresh data

Analytical workflows: chain Correios API (REST) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Correios API (REST) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

Common issues when connecting Correios API (REST) to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Correios API (REST) + LlamaIndex FAQ

Common questions about integrating Correios API (REST) MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Correios API (REST) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.