How to Use the Boathouse Connect MCP in LlamaIndex

Q: How do I register Boathouse Connect tools in LlamaIndex?

Use BasicMCPClient with your Vinkius URL and wrap it in McpToolSpec using the MCP adapter. Then call the async tool conversion method to pass the tools to your FunctionAgent.

Q: Can LlamaIndex index live Boathouse Connect reservations?

Yes, by calling listreservations and indexing the output nodes. This lets your RAG pipeline answer complex questions about upcoming slip occupancies.

Q: Is my Boathouse Connect member data safe during indexing?

All member data retrieved via getuser is processed in an ephemeral sandbox. Vinkius does not store the decrypted payloads, keeping your marina's customer records secure.

Index your Boathouse Connect marina data directly into LlamaIndex vector stores for instant semantic search.

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Connect Boathouse Connect MCP to LlamaIndex

Create your Vinkius account to connect Boathouse Connect 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 Boathouse Connect with LlamaIndex

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Index Marina Schedules for LlamaIndex RAG

The `list_schedules` tool pulls live booking calendars into your LlamaIndex knowledge base to eliminate scheduling conflicts. The agent converts raw calendar data into queryable nodes, letting you search for open slots using natural language. This setup avoids outdated spreadsheets by querying the live API every time a member asks for availability. Your RAG pipeline grounds its answers in real-time dock data, avoiding hallucinated bookings.

Query Member Records with Semantic Search

The `list_users` tool fetches your entire member roster so LlamaIndex can build a searchable index of customer profiles. Your agent matches natural language queries like 'active sailboat owners' against the retrieved member records. You use `McpToolSpec` to load these data-gathering tools directly into your `FunctionAgent`. It automatically handles resource loading when you set the resource inclusion flag to true.

Audit Equipment Statuses via the MCP Server

The `list_equipment` tool exposes detailed marina asset lists that your agent can index to track physical boat conditions. When a member asks for a specific vessel type, the agent checks the active inventory and matches it to their profile. Wrapping this MCP Server in `BasicMCPClient` gives your LlamaIndex pipeline direct access to live equipment states. You filter allowed tools to keep your index clean and focused only on active hardware.

Setup guide

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

Use `BasicMCPClient` with your Vinkius URL and wrap it in `McpToolSpec` using the MCP adapter. Then call the async tool conversion method to pass the tools to your `FunctionAgent`.

Yes, by calling `list_reservations` and indexing the output nodes. This lets your RAG pipeline answer complex questions about upcoming slip occupancies.

You control the caching layer in your index pipeline. You can force a refresh using `get_equipment` to ensure your vector store reflects the absolute latest maintenance status.

Yes, you can pass an allowed tools list to the tool spec. This prevents the agent from calling destructive tools while still allowing it to read schedules.

All member data retrieved via `get_user` is processed in an ephemeral sandbox. Vinkius does not store the decrypted payloads, keeping your marina's customer records secure.

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