What makes Arbox different?

Arbox is CRM-first — it excels at lead tracking, sales pipeline management, and member engagement scoring. While other platforms focus on scheduling, Arbox treats every member interaction as a CRM touchpoint, making it ideal for studios focused on growth and retention.

Arbox MCP Server for LlamaIndex 9 tools — connect in under 2 minutes

Name: Arbox
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Arbox as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Arbox. "
            "You have 9 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Arbox?"
    )
    print(response)

asyncio.run(main())

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About Arbox MCP Server

Connect your Arbox studio to any AI agent.

LlamaIndex agents combine Arbox tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

Members — Search with CRM profile, engagement score, attendance
Schedule — Classes with coach, spots left, enrolled members
Coaches — Trainers with specialties and availability
Leads — Sales pipeline: source, status, assigned salesperson
Memberships — Unlimited, limited, punch cards, trials
Payments — Transaction tracking, amounts, methods
Products — Retail: merchandise, supplements, accessories

Arbox is a CRM-first studio management platform popular in Israel and growing globally. Its strength is in lead management and sales pipeline tracking.

The Arbox MCP Server exposes 9 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Arbox to LlamaIndex via MCP

Follow these steps to integrate the Arbox MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 9 tools from Arbox

Why Use LlamaIndex with the Arbox MCP Server

LlamaIndex provides unique advantages when paired with Arbox through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Arbox tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Arbox tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Arbox, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Arbox tools were called, what data was returned, and how it influenced the final answer

Arbox + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Arbox MCP Server delivers measurable value.

Hybrid search: combine Arbox real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Arbox to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Arbox for fresh data

Analytical workflows: chain Arbox queries with LlamaIndex's data connectors to build multi-source analytical reports

Arbox MCP Tools for LlamaIndex (9)

These 9 tools become available when you connect Arbox to LlamaIndex via MCP:

get_branch_info

Get branch info

get_member

Get member profile

list_coaches

List coaches/trainers

list_leads

Key for studio sales pipeline. List sales leads

list_memberships

List membership plans

list_payments

List payments

list_products

List products/retail

list_schedule

List class schedule

search_members

Returns profile, membership, attendance, and engagement score. Search studio members

Example Prompts for Arbox in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Arbox immediately.

"Show me our active leads and their status."

Troubleshooting Arbox MCP Server with LlamaIndex

Common issues when connecting Arbox to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Arbox + LlamaIndex FAQ

Common questions about integrating Arbox MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.