How to Use the BR Business Days Calculator MCP in LlamaIndex

Index precise Brazilian business dates into your LlamaIndex RAG pipelines to ground agent decisions.

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Connect BR Business Days Calculator MCP to LlamaIndex

Create your Vinkius account to connect BR Business Days Calculator 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 BR Business Days Calculator with LlamaIndex

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Ground your RAG data with real Brazilian dates

The `is_business_day` tool checks if a specific date is a working day in Brazil. LlamaIndex agents can query this tool before writing data to your vector store, ensuring your indexed knowledge base stays accurate. This prevents your search index from containing false assumptions about weekend deliveries or holiday operations. The tool handles the heavy lifting so your vector embeddings stay clean.

Calculate indexing schedules dynamically

The `add_business_days` tool computes exact future dates by skipping weekends and Brazilian national holidays. Your LlamaIndex pipeline can use this tool to schedule the next document ingestion run. Instead of hardcoding calendar logic, you let the MCP server output dictate when the next chunk of data should go live. This keeps your system synchronized with Brazilian business hours.

Store calendar query results for semantic search

Every time your LlamaIndex agent calls `is_business_day`, the output can be indexed directly into your document store. This lets you run semantic queries on past date checks later on. You get a searchable history of when your system verified Brazilian business days. It makes auditing your automated decisions straightforward because the raw tool data is preserved through this MCP tool.

Setup guide

Set up BR Business Days Calculator 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 BR Business Days Calculator 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 BR Business Days Calculator tools.",
)
response = await agent.run("List recent BR Business Days Calculator data")

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Common questions about BR Business Days Calculator MCP in LlamaIndex

Use the LlamaIndex MCP tool spec package and point it at your server URL. Then, convert the spec to a tool list and pass it to your FunctionAgent.

Yes, you can use the allowed tools filter to restrict your agent to just `add_business_days` or `is_business_day`. This keeps your context window clean.

Yes, this MCP server provides the exact date data your RAG pipeline needs to answer questions about Brazilian deadlines. Your agent queries the tool, then indexes the response.

The tool focuses strictly on Brazilian national holidays. It ensures broad compliance across the country without getting bogged down in municipal calendar variations.

Yes, the server only receives the date strings you send for calculation. No document text or vector embeddings are ever transmitted or stored outside your container.

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