How to Use the Correios do Brazil MCP in LlamaIndex
Index live Brazilian postal data directly into your LlamaIndex vector store for instant, context-aware shipping queries.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Correios do Brazil MCP to LlamaIndex
Create your Vinkius account to connect Correios do Brazil 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.
Index Correios do Brazil MCP Server data for RAG
By connecting LlamaIndex to this MCP Server, your agent can run `calculate_prices` or `estimate_delivery_time` and immediately index those real-time results into your vector database. Stop relying on static, outdated shipping FAQs. When a customer asks about delivery times, your RAG pipeline doesn't just guess. It queries the indexed API responses to give answers grounded in actual, live data from the Brazilian postal service.
Build queryable shipping knowledge bases
Every time your agent uses `consult_cep` to look up an address, that structured data is cached and indexed. Over time, you build a local directory of verified Brazilian ZIP codes and regions without manual data entry. Your LlamaIndex agent can search this local index first before making an external API call. This saves API quota and speeds up response times for common shipping destinations.
Combine live API data with static documents
Use `calculate_prices` to build a hybrid agent that reads your PDF rules and gives customers exact, policy-compliant shipping quotes. Your store's internal return policy might be a PDF, but shipping rates change daily. The agent uses LlamaIndex's query engine to synthesize the static document rules with the live API output. It ensures your customer service agent always quotes rates that match both your internal policies and actual Correios pricing.
Set up Correios do Brazil MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - 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 providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto 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 do Brazil MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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 do Brazil tools.",
)
response = await agent.run("List recent Correios do Brazil data") 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 do Brazil MCP in LlamaIndex
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