How to Use the ClubPlanner MCP in LlamaIndex

Index your gym data in LlamaIndex with the ClubPlanner MCP Server for grounded, searchable fitness business insights.

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Connect ClubPlanner MCP to LlamaIndex

Create your Vinkius account to connect ClubPlanner 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 ClubPlanner with LlamaIndex

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Index ClubPlanner records in LlamaIndex

Transform your member list and contract data into a searchable knowledge base. By using `list_members`, your agent creates a vector store of your current gym population. Queries about membership status or prospect history return grounded answers. You stop guessing and start retrieving facts directly from your database.

Build RAG apps with MCP Server tools

Combine your private documents with live club data using `get_me` and `list_products`. Your RAG pipeline merges these sources into a unified index for better context. Your agent uses this combined knowledge to answer complex questions about membership trends. It provides specific, evidence-based responses every time.

Filter ClubPlanner data dynamically

Use the allowed_tools filter to limit which parts of your data the agent touches. You control the scope of the index while maintaining full functionality. This keeps your LlamaIndex agent focused on relevant data points like `list_checkins`. It prevents the model from hallucinating by grounding it in actual API results.

Setup guide

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

Absolutely, you can convert tool outputs into searchable nodes. This allows your agent to query historical member activity efficiently.

You wrap the tools in an McpToolSpec and pass them to your agent. From there, your query engine treats the API data like any other document source.

You can index previous tool outputs to create a history of club operations. This makes your agent smarter as you accumulate more data.

No. The server acts as a live proxy to your actual account data. It retrieves information only when your agent requests it.

We keep PII transient during the indexing process. Your data is encrypted in transit and never persisted in our infrastructure.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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