How to Use the Guestmeter MCP in LlamaIndex

Q: Can I use LlamaIndex to query Guestmeter promoter data?

Yes. The agent calls listpromoters to fetch high-scoring guests, indexes that feedback, and lets you query it using natural language.

Q: What is the fastest way to get recent feedback?

Call the listrecentfeedback tool. It returns the 50 most recent entries in one request.

Index live Guestmeter survey results directly into your LlamaIndex vector store using this MCP Server.

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Connect Guestmeter MCP to LlamaIndex

Create your Vinkius account to connect Guestmeter to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Guestmeter with LlamaIndex

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Search feedback with LlamaIndex

The `list_guest_feedback` tool pulls all guest survey results directly into your indexing pipeline. LlamaIndex vectorizes these text responses, turning raw survey comments into a searchable knowledge base. Instead of reading hundreds of reviews, you query the index for specific issues like AC malfunctions. The agent finds the exact guest records using `get_guest_details` to show which rooms need maintenance.

Automated feedback categorization

The `list_detractors` tool isolates guests who left low scores, while `list_promoters` flags your biggest fans. This MCP integration isolates guests into polarized lists, feeding them into your index to separate operational complaints from positive highlights. Your agent searches these distinct indexes to draft tailored responses. It ensures your recovery efforts focus on the exact issues highlighted by unhappy guests.

Real-time index updates

The `list_recent_feedback` tool retrieves the last 50 entries to keep your vector index fresh. Your LlamaIndex agent runs this check on a schedule, avoiding stale data and outdated sentiment analysis. If a new detractor pops up, the agent immediately triggers `send_survey` to collect deeper details. This keeps your local customer data synchronized with actual guest experiences.

Setup guide

Set up Guestmeter MCP in LlamaIndex

Prerequisites

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

1

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

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Guestmeter MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
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 Guestmeter tools.",
)
response = await agent.run("List recent Guestmeter data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Guestmeter. 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.

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Common questions about Guestmeter MCP in LlamaIndex

Install the llama-index-tools-mcp package and initialize the BasicMCPClient. Convert the server tools into LlamaIndex tool specs to use them inside your agent.

Yes. The agent calls `list_promoters` to fetch high-scoring guests, indexes that feedback, and lets you query it using natural language.

It uses RAG to ground its answers directly in the data fetched by `get_guest_details`. The agent only references actual facts returned by the API.

Call the `list_recent_feedback` tool. It returns the 50 most recent entries in one request.

All guest emails and phone numbers are processed in memory within Vinkius's isolated sandbox. No customer details are written to disk or exposed to external networks.

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