How to Use the WellnessLiving MCP in LlamaIndex

Q: What kind of reports can I search using WellnessLiving and LlamaIndex?

You can build a searchable index on the output of getreport. You'll be able to ask questions about attendance trends or revenue patterns, getting answers based on historical data.

Q: Can I check class availability with WellnessLiving and LlamaIndex?

Yes. Querying the results from listschedule allows you to build a knowledge base that answers questions like, 'Which classes run after 5 PM?' based on stored API data.

Q: Does the MCP Server support multi-domain WellnessLiving indexing with LlamaIndex?

It does. You can combine results from multiple tools—like liststaff and getbusinessinfo—into one unified, queryable knowledge index.

Build searchable knowledge bases from WellnessLiving data using LlamaIndex.

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Connect WellnessLiving MCP to LlamaIndex

Create your Vinkius account to connect WellnessLiving 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 WellnessLiving with LlamaIndex

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Indexing client history with the MCP Server

Forget searching through PDFs. When you run `search_clients`, the output—including visit history and memberships—gets indexed into a vector store. You can then query past sessions to ask, 'What services did John use last May?' The agent grounds answers in actual API data from the MCP Server, not just guesswork.

Retrieving business operations knowledge

Need to know what kind of revenue reports are available? Querying `get_report` output lets you search for specific metrics like 'What drives retention?' The indexed data provides context on attendance and revenue. This builds a searchable manual based on real-time MCP Server results.

Managing membership plans via LlamaIndex

Instead of just listing memberships with `list_memberships`, you index the plan details. You can then ask, 'What are the differences between our Gold and Platinum tiers?' and get an answer synthesized from all available data. The knowledge base combines API output with your internal documents for a complete picture.

Setup guide

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

LlamaIndex takes the MCP Server's outputs—like staff lists or service types—and indexes them. This means you can query past API data and get answers grounded in those results.

You can build a searchable index on the output of `get_report`. You'll be able to ask questions about attendance trends or revenue patterns, getting answers based on historical data.

Yes. Querying the results from `list_schedule` allows you to build a knowledge base that answers questions like, 'Which classes run after 5 PM?' based on stored API data.

It does. You can combine results from multiple tools—like `list_staff` and `get_business_info`—into one unified, queryable knowledge index.

The server touches client profile information, including membership records and visit history that can be indexed for later retrieval.

Use it with your favorite AI tools

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