Softinn MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Softinn as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Softinn. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Softinn?"
)
print(response)
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.
LlamaIndex agents combine Softinn tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Softinn MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Softinn
Why Use LlamaIndex with the Softinn MCP Server
LlamaIndex provides unique advantages when paired with Softinn through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Softinn tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Softinn tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Softinn, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Softinn tools were called, what data was returned, and how it influenced the final answer
Softinn + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Softinn MCP Server delivers measurable value.
Hybrid search: combine Softinn real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Softinn to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Softinn for fresh data
Analytical workflows: chain Softinn queries with LlamaIndex's data connectors to build multi-source analytical reports
Softinn MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Softinn to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Softinn to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSoftinn + LlamaIndex FAQ
Common questions about integrating Softinn MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.