How to Use the Mews MCP in LlamaIndex

Q: Does LlamaIndex support filtering specific Mews tools?

Yes, you can use the allowedtools filter in LlamaIndex to restrict your agent's access. For example, you can limit an agent to only read-only tools like getpropertyinfo and listrooms.

Index your live Mews PMS data directly into LlamaIndex vector stores for ground-truth RAG pipelines.

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Connect Mews MCP to LlamaIndex

Create your Vinkius account to connect Mews 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 Mews with LlamaIndex

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Index Mews room states into LlamaIndex

The `list_rooms` tool extracts current room statuses and configurations directly into your LlamaIndex document store. Your LlamaIndex query engine reads this live physical layout to answer complex spatial availability questions with zero hallucination. By converting these Mews room records into indexable nodes, LlamaIndex ensures your agent always works with real-time property inventory. You can query room details alongside housekeeping logs inside your LlamaIndex vector index to get a clear picture of your property status.

Ground your LlamaIndex RAG with live Mews rates

The `list_rates` tool pulls active pricing, restrictions, and availability rules directly into your LlamaIndex semantic search index. Your LlamaIndex agent queries this indexed pricing data to provide guests with accurate, real-time booking quotes. This integration prevents your LlamaIndex pipeline from hallucinating Mews room prices or booking conditions. It merges live Mews rate configurations with your unstructured policy documents into a single queryable source in LlamaIndex.

Build semantic search over guest stays using this MCP Server

The `search_guests` tool feeds historical stay data, preferences, and loyalty details into your LlamaIndex knowledge base. Your LlamaIndex agent searches this indexed profiles database to find patterns in guest behavior or retrieve specific preferences. Using this Mews MCP Server with LlamaIndex allows you to build a semantic search layer over your property management system. You can ask LlamaIndex natural language questions about guest habits and get answers backed by actual Mews stay records.

Setup guide

Set up Mews 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 Mews 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 Mews tools.",
)
response = await agent.run("List recent Mews 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 Mews. 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 Mews MCP in LlamaIndex

LlamaIndex uses this MCP Server to pull fresh data from Mews endpoints like list_services on demand. This keeps your vector index updated with real-time operational details without stale caching.

Yes, you can query guest profiles by indexing the output of get_guest or search_guests directly into your LlamaIndex vector store. This allows your agent to perform semantic lookups on preferences and past stay histories.

Install llama-index-tools-mcp and initialize the basic client pointing to your Vinkius endpoint. Then, convert the Mews tools into a tool spec and pass them directly to your LlamaIndex function agent.

Yes, you can use the allowed_tools filter in LlamaIndex to restrict your agent's access. For example, you can limit an agent to only read-only tools like get_property_info and list_rooms.

Your reservation data and guest profiles are protected by the zero-trust architecture of Vinkius. The server runs inside isolated, ephemeral environments, ensuring your property data is never exposed or logged externally during LlamaIndex query runs.

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