How to Use the Arbox MCP in LlamaIndex

Q: Can LlamaIndex agents update member profiles in Arbox via MCP?

Yes. Your agent can call updateclient or createclient directly when users provide updated contact details during a chat session.

Q: How does semantic search work with this Arbox MCP Server and LlamaIndex?

The agent pulls gym data using getschedule and indexes the text. When a user asks for morning yoga, LlamaIndex searches the index to match the query with the right class time.

Q: Can I filter which Arbox tools LlamaIndex can access?

Yes, you can use the allowedtools filter during setup. This lets you restrict your agent to read-only tools like listclasses while blocking write tools like updateclient.

Build RAG pipelines that index your gym's schedule and member data using LlamaIndex.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Arbox MCP to LlamaIndex

Create your Vinkius account to connect Arbox 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.

GDPR Free for Subscribers

Setup Arbox with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Query live schedules using this MCP Server

`get_schedule` and `list_classes` pull real-time calendar data directly into your LlamaIndex vector store. Your agent indexes these class listings so users can search for active sessions using natural language. This approach replaces static calendar widgets. Gym members can ask when their favorite instructor is teaching and get accurate, real-time answers instantly.

Build member-aware RAG search with the Arbox MCP Server

`get_client` and `list_memberships` feed active member profiles and registration statuses directly into your indexing pipeline. The agent uses this context to personalize search results based on what package the client bought. You avoid querying stale data. The index updates dynamically, meaning your agent always knows if a member has an active pass before they try to book.

Track gym leads and tasks

`list_leads` and `list_tasks` pull active sales data into your index to help run your business. Your agent searches through these records to highlight outstanding follow-ups or cold prospects. This lets you build internal dashboards that answer questions about your sales pipeline. You can ask which tasks are overdue and get a structured list back in seconds.

Setup guide

Set up Arbox 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 Arbox 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 Arbox tools.",
)
response = await agent.run("List recent Arbox data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Arbox. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Arbox now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Arbox MCP in LlamaIndex

Install llama-index-tools-mcp and instantiate BasicMCPClient with your Vinkius URL. Wrap it in McpToolSpec and convert it to a tool list to let your index query list_classes.

Yes. Your agent can call update_client or create_client directly when users provide updated contact details during a chat session.

The agent pulls gym data using get_schedule and indexes the text. When a user asks for morning yoga, LlamaIndex searches the index to match the query with the right class time.

Yes, you can use the allowed_tools filter during setup. This lets you restrict your agent to read-only tools like list_classes while blocking write tools like update_client.

All tool executions run in ephemeral, zero-trust V8 sandboxes that wipe all session data the moment the API call completes. Your clients' names, phone numbers, and membership details are never permanently stored.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript