Correios (Brazil) MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Correios (Brazil) 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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Vinkius supports streamable HTTP and SSE.
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 (Brazil). "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Correios (Brazil)?"
)
print(response)
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 (Brazil) MCP Server
Connect your AI agents to Correios, the official national postal service of Brazil. This MCP provides 9 tools to automate real-time object tracking, calculate shipping deadlines and prices (PAC, SEDEX), and retrieve accurate address information using Brazilian zip codes (CEP) directly through natural conversation.
LlamaIndex agents combine Correios (Brazil) tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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
- Logistics Orchestration — Track multiple packages and retrieve granular status updates and historical events
- Shipping Intelligence — Calculate delivery deadlines and prices for various services between any two zip codes
- Address Validation — Retrieve complete street, neighborhood, and city details for any Brazilian CEP
- Business Integration — Access organizational contract configurations and list authorized service codes programmatically
- Regional Insights — Verify the state and city information associated with specific postal zones
The Correios (Brazil) MCP Server exposes 8 tools through the Vinkius. Connect it to LlamaIndex 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 Correios (Brazil) to LlamaIndex via MCP
Follow these steps to integrate the Correios (Brazil) MCP Server with LlamaIndex.
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 8 tools from Correios (Brazil)
Why Use LlamaIndex with the Correios (Brazil) MCP Server
LlamaIndex provides unique advantages when paired with Correios (Brazil) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Correios (Brazil) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Correios (Brazil) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Correios (Brazil), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Correios (Brazil) tools were called, what data was returned, and how it influenced the final answer
Correios (Brazil) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Correios (Brazil) MCP Server delivers measurable value.
Hybrid search: combine Correios (Brazil) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Correios (Brazil) 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 (Brazil) for fresh data
Analytical workflows: chain Correios (Brazil) queries with LlamaIndex's data connectors to build multi-source analytical reports
Correios (Brazil) MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Correios (Brazil) to LlamaIndex via MCP:
calculate_price_deadline
Calculate shipping price and delivery deadline
get_contract_status
Check the current status of your Correios contract
get_unit_info
Get details for a specific post office unit
list_contract_services
, associated with your account. List all postage services available in your contract
list_unit_types
List all types of Correios units
lookup_cep
Get address information from a Brazilian ZIP code (CEP)
search_units_by_cep
Search for nearby post office units
track_object
Track a package status using its tracking code
Example Prompts for Correios (Brazil) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Correios (Brazil) immediately.
"Track Correios object 'QI123456789BR' and show its latest status."
"Calculate shipping for a 2kg box from CEP 01310-100 to 20040-002."
"Find the address details for CEP '01310-914'."
Troubleshooting Correios (Brazil) MCP Server with LlamaIndex
Common issues when connecting Correios (Brazil) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCorreios (Brazil) + LlamaIndex FAQ
Common questions about integrating Correios (Brazil) MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Correios (Brazil) with your favorite client
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Correios (Brazil) to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.