Preno MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Check Preno Status, Create Preno Booking, Create Preno Guest, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Preno 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 App Connector for LlamaIndex
The Preno app connector for LlamaIndex is a standout in the Erp Operations category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Preno. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Preno?"
)
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 Preno MCP Server
Connect your Preno account to any AI agent and take full control of your property management and high-fidelity hospitality orchestration through natural conversation.
LlamaIndex agents combine Preno tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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
- Booking Portfolio Orchestration — List all active and upcoming reservations, retrieve detailed high-fidelity status metadata, and monitor occupancy programmatically
- Guest Intelligence Architecture — Access complete high-fidelity guest profiles and stay history to personalize every interaction directly through your agent
- Reservation Orchestration — Programmatically generate new bookings and update existing high-fidelity reservation records for perfectly coordinated check-ins
- Room & Rate Monitoring — Access your complete directory of high-fidelity room types and rates to optimize property utilization and revenue management
- Financial Transaction Discovery — Access recorded technical payment entries to understand revenue streams and maintain perfect financial alignment
- Operational Monitoring — Verify account-level API connectivity and monitor booking orchestration volume directly through your agent for perfectly coordinated service scaling
The Preno MCP Server exposes 11 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.
All 11 Preno tools available for LlamaIndex
When LlamaIndex connects to Preno through Vinkius, your AI agent gets direct access to every tool listed below — spanning booking-management, hotel-management, guest-services, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Check API Status
Create a new booking
Create a new guest
Get booking details
Get guest details
Get room type details
List OTAs and agents
List property bookings
Optionally search by name or email. List property guests
List financial payments
List room categories
Connect Preno to LlamaIndex via MCP
Follow these steps to wire Preno into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Preno MCP Server
LlamaIndex provides unique advantages when paired with Preno through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Preno tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Preno tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Preno, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Preno tools were called, what data was returned, and how it influenced the final answer
Preno + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Preno MCP Server delivers measurable value.
Hybrid search: combine Preno real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Preno 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 Preno for fresh data
Analytical workflows: chain Preno queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Preno in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Preno immediately.
"List all active bookings and show their arrival status."
"Create a new booking for guest 'John Doe' arriving tomorrow for 3 nights."
"Check the last 5 payments recorded today."
Troubleshooting Preno MCP Server with LlamaIndex
Common issues when connecting Preno to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpPreno + LlamaIndex FAQ
Common questions about integrating Preno MCP Server with LlamaIndex.