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Softinn MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

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

Vinkius supports streamable HTTP and SSE.

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({
        "softinn": {
            "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 Softinn, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Softinn
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 Softinn MCP Server

Connect your AI agents to Softinn, the leading cloud-based Hotel Management System (PMS) and Booking Engine. This MCP provides 10 tools to automate the full lifecycle of your property operations, from real-time availability searches and reservation creation to housekeeping status updates and guest billing management.

LangChain's ecosystem of 500+ components combines seamlessly with Softinn through native MCP adapters. Connect 10 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.

What you can do

  • Reservation Orchestration — Search for vacant rooms and create guest reservations directly through natural conversation
  • Inventory Control — List room types and physical rooms to monitor occupancy and technical configurations in real-time
  • Housekeeping Management — Update room statuses (Clean, Dirty, Maintenance) to keep your operations synchronized
  • Financial Integration — Access guest folios, monitor outstanding balances, and record payments programmatically
  • Property Insights — Retrieve hotel metadata and summary configurations for high-level property oversight

The Softinn MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 Softinn to LangChain via MCP

Follow these steps to integrate the Softinn MCP Server with LangChain.

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 10 tools from Softinn via MCP

Why Use LangChain with the Softinn MCP Server

LangChain provides unique advantages when paired with Softinn through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Softinn 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 Softinn queries for multi-turn workflows

Softinn + LangChain Use Cases

Practical scenarios where LangChain combined with the Softinn MCP Server delivers measurable value.

01

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

02

Autonomous research agents: LangChain agents query Softinn, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Softinn tools with web scrapers, databases, and calculators in a single agent run

04

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

Softinn MCP Tools for LangChain (10)

These 10 tools become available when you connect Softinn to LangChain via MCP:

01

add_folio_payment

Record a payment against a guest folio

02

check_availability

Search for available rooms in the hotel

03

create_reservation

Create a new guest reservation

04

get_hotel_summary

Get an overview of the hotel configuration

05

get_reservation_details

Get details for a specific reservation

06

list_all_rooms

List all physical rooms and their current metadata

07

list_reservation_folios

Retrieve billing folios for a reservation

08

list_reservations_by_date

List all reservations for a specific date

09

list_room_types

List all configured room types for the hotel

10

update_room_status

g., Clean, Dirty, Out of Order). Update the housekeeping or occupancy status of a room

Example Prompts for Softinn in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Softinn immediately.

01

"Check room availability in my Softinn hotel from 2024-06-01 to 2024-06-05."

02

"Show me the arrival list for today."

03

"Update the status of room 302 to 'Clean'."

Troubleshooting Softinn MCP Server with LangChain

Common issues when connecting Softinn to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Softinn + LangChain FAQ

Common questions about integrating Softinn 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.

Connect Softinn to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.