How to Use the Booking Manager MCP in LlamaIndex
Index live yacht availability and charter data directly into your LlamaIndex RAG pipeline.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Booking Manager MCP to LlamaIndex
Create your Vinkius account to connect Booking Manager 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.
Semantic Search Over Live Yacht Data with LlamaIndex
The Booking Manager MCP Server uses `list_yachts` and `get_yacht` to feed real-time boat specifications directly into your vector store. Your pipeline indexes these details, allowing your agent to run semantic searches over physical boat characteristics. This setup grounds your RAG application in real, current fleet data. It stops your agent from hallucinating boat features or making up amenities that do not exist.
Real-Time Fleet Availability Auditing
This toolset uses `check_availability` and `list_bookings` to monitor active reservations and open calendar slots. Your LlamaIndex agent queries this data to answer complex scheduling questions instantly. You can combine this live scheduling data with historical reservation files in your vector index. The agent delivers answers that reflect both current booking states and seasonal trends.
Automated Rate Indexing and Quotes
Your agent executes `get_prices` and `get_offers` to extract current charter rates and active promotional discounts. It stores these numbers in your index to answer pricing queries with exact accuracy. By matching live rates with charter options, your agent builds tailored packages. It extracts the exact cost details without requiring you to write custom pricing parsers.
Set up Booking Manager MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - 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 providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto 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 Booking Manager MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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 Booking Manager tools.",
)
response = await agent.run("List recent Booking Manager data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Booking Manager. 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 Booking Manager MCP in LlamaIndex
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