4,000+ servers built on vurb.ts
Vinkius

BR Business Days Calculator MCP Server for LangChainGive LangChain instant access to 2 tools to Add Business Days and Is Business Day

MCP Inspector GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect BR Business Days Calculator through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

The BR Business Days Calculator MCP Server for LangChain is a standout in the Productivity category — giving your AI agent 2 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "br-business-days-calculator": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using BR Business Days Calculator, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
BR Business Days Calculator
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 BR Business Days Calculator MCP Server

LLMs cannot reliably calculate SLAs or business delivery times. If you ask an AI to 'add 5 business days to Feb 10th', it will frequently ignore Carnival or count a Saturday. This MCP solves this by providing a static, local-first calculation engine that perfectly handles Brazilian national holidays and weekends.

LangChain's ecosystem of 500+ components combines seamlessly with BR Business Days Calculator through native MCP adapters. Connect 2 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

The Superpowers

  • Flawless SLA Math: Guarantee that your agents' promised delivery dates are exactly right, automatically skipping weekends and static/dynamic BR holidays.
  • Zero Latency & 100% Local: Unlike our global business-timezone-scheduler that uses the Nager.Date API, this engine uses a hardcoded Brazilian holiday list in the V8 isolate. Zero external network calls. Instant execution.
  • Absolute Determinism: Eliminates the hallucination of non-existent business days, bringing enterprise reliability to AI agents.

The BR Business Days Calculator MCP Server exposes 2 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 2 BR Business Days Calculator tools available for LangChain

When LangChain connects to BR Business Days Calculator through Vinkius, your AI agent gets direct access to every tool listed below — spanning sla-tracking, date-math, business-logic, 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.

add

Add business days on BR Business Days Calculator

Pass a starting date and the number of days to add (use negative values to subtract). The engine skips weekends and Brazilian holidays automatically. Adds or subtracts X Brazilian business days from a given date

is

Is business day on BR Business Days Calculator

Pass the date as an ISO string (YYYY-MM-DD). The engine accounts for all Brazilian national holidays and weekends. Checks if a given date is a Brazilian business day (excludes weekends and BR national holidays)

Connect BR Business Days Calculator to LangChain via MCP

Follow these steps to wire BR Business Days Calculator into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 2 tools from BR Business Days Calculator via MCP

Why Use LangChain with the BR Business Days Calculator MCP Server

LangChain provides unique advantages when paired with BR Business Days Calculator through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine BR Business Days Calculator MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across BR Business Days Calculator queries for multi-turn workflows

BR Business Days Calculator + LangChain Use Cases

Practical scenarios where LangChain combined with the BR Business Days Calculator MCP Server delivers measurable value.

01

RAG with live data: combine BR Business Days Calculator tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query BR Business Days Calculator, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain BR Business Days Calculator tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every BR Business Days Calculator tool call, measure latency, and optimize your agent's performance

Example Prompts for BR Business Days Calculator in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with BR Business Days Calculator immediately.

01

"Calculate a 10-business-day delivery SLA starting from `2024-02-09` (Brazil)."

02

"Is `2024-11-15` counted as a valid business day for banking operations in Brazil?"

03

"Add exactly 1 business day to `2024-03-28` (Thursday before Easter)."

Troubleshooting BR Business Days Calculator MCP Server with LangChain

Common issues when connecting BR Business Days Calculator to LangChain through Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

BR Business Days Calculator + LangChain FAQ

Common questions about integrating BR Business Days Calculator MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Explore More MCP Servers

View all →