How to Use the Correios API (REST) MCP in LlamaIndex

Index your shipping and tracking data into LlamaIndex using the Correios API (REST) MCP Server.

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Connect Correios API (REST) MCP to LlamaIndex

Create your Vinkius account to connect Correios API (REST) to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Correios API (REST) with LlamaIndex

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Index shipping rates in LlamaIndex

Turn your `calculate_price_deadline` results into searchable knowledge. LlamaIndex stores these outputs in your vector store for later semantic querying. You stop treating API data as temporary. Instead, you build a history of shipping costs that informs your future logistics decisions.

Query past tracking events

The `track_object` tool populates your index with real-time transit data. You ask your agent about specific package status and get grounded answers from your own archive. This removes the need to hit the live API every time you check a status. Your agent retrieves the latest indexed state instantly.

Unified RAG with shipping data

Combine postal documents and live API responses in one searchable index. This MCP Server makes your shipping data a first-class citizen in your RAG pipeline. You avoid hallucinations by grounding agent responses in actual data. The results provide a clear view of your supply chain operations.

Setup guide

Set up Correios API (REST) MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Correios API (REST) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Correios API (REST) tools.",
)
response = await agent.run("List recent Correios API (REST) data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Correios. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Correios API (REST) MCP in LlamaIndex

You use the McpToolSpec to turn API responses into queryable nodes. These nodes are then added to your vector store as part of your RAG workflow.

Yes, once you index the tool outputs, you can perform semantic searches across previous tracking sessions. This turns raw API data into a searchable knowledge base.

The tools convert directly into a format the FunctionAgent understands. You can filter which tools are available to keep the agent focused.

You just need the mcp-tools package and your endpoint URL. The integration handles the tool mapping for you.

Your tracking codes and price queries are processed through an ephemeral, zero-trust sandbox. We never store or log your specific shipment identifiers after the request finishes.

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