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How to Use the StayFi MCP in LlamaIndex

Build knowledge-grounded StayFi RAG applications with LlamaIndex.

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Works with every AI agent you already use

…and any MCP-compatible client

StayFi MCP on Cursor AI Code Editor MCP Client StayFi MCP on Claude Desktop App MCP Integration StayFi MCP on OpenAI Agents SDK MCP Compatible StayFi MCP on Visual Studio Code MCP Extension Client StayFi MCP on GitHub Copilot AI Agent MCP Integration StayFi MCP on Google Gemini AI MCP Integration StayFi MCP on Lovable AI Development MCP Client StayFi MCP on Mistral AI Agents MCP Compatible StayFi MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on LlamaIndex

Connect StayFi MCP to LlamaIndex

Create your Vinkius account to connect StayFi to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Search Historical Guest Records using the MCP Server

Don't just read data; index it. You can feed results from `search_guests` into a vector store, allowing you to query past guest interactions semantically. Instead of knowing a name, you ask: 'What were the network issues for guests who checked in last month?' LlamaIndex grounds answers in actual API data like those retrieved by `list_guests_by_property`, eliminating guesswork.

Create Property Knowledge Bases with LlamaIndex

Every property has unique rules and statuses. You can run a query that executes `get_property` across multiple sites, indexing the resulting data points (address, capacity, services). This creates a unified knowledge base. When you ask a question like 'What are the networking requirements for P205?', LlamaIndex retrieves the specific details from `get_network` and answers based on that indexed information.

Track Marketing Performance by Indexing StayFi Data

You can index marketing results to query performance trends months later. Run `get_email_stats` for all periods, then store those stats. Later, you ask the system about 'low email capture rates in Q3,' and it pulls the relevant historical figures. This is far better than simple reporting. You get contextually rich answers by combining data from `list_splash_pages` with actual performance metrics.

Setup guide

Set up StayFi MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all StayFi MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to StayFi tools.",
)
response = await agent.run("List recent StayFi data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by StayFi. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about StayFi MCP in LlamaIndex

You can query historical records for a guest using the output of `search_guests`. By indexing this data, you don't just see the current record; you get context around past activity or reported issues.
Absolutely. Indexing results from `list_properties` and then running queries against `get_property_stats` lets you ask complex questions like, 'Which properties have low occupancy but high device counts?'
The server handles network details via `get_network`. By indexing this information along with the outputs from `list_networks`, you create a searchable history of connectivity parameters for compliance review.
You can run several listing tools—like `list_devices` and `list_guests`—and index them together. This allows you to query the relationship between hardware inventory and guest counts in a single natural language prompt.
The server provides tools for handling `guest` details. When indexing, you can specifically manage which fields from the `get_guest` output are stored in your searchable knowledge base.

Start using the StayFi MCP today

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Built & Managed by Vinkius 30s setup 17 tools

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