Softinn MCP Server for LangChain 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
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.
The largest ecosystem of integrations, chains, and agents. combine Softinn MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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.
RAG with live data: combine Softinn tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Softinn, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Softinn tools with web scrapers, databases, and calculators in a single agent run
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:
add_folio_payment
Record a payment against a guest folio
check_availability
Search for available rooms in the hotel
create_reservation
Create a new guest reservation
get_hotel_summary
Get an overview of the hotel configuration
get_reservation_details
Get details for a specific reservation
list_all_rooms
List all physical rooms and their current metadata
list_reservation_folios
Retrieve billing folios for a reservation
list_reservations_by_date
List all reservations for a specific date
list_room_types
List all configured room types for the hotel
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.
"Check room availability in my Softinn hotel from 2024-06-01 to 2024-06-05."
"Show me the arrival list for today."
"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.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersSoftinn + LangChain FAQ
Common questions about integrating Softinn MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Softinn with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Softinn to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
