How do I get a TeamUp API key?

Visit goteamup.com/developers to request developer API access. You'll receive an API key that must be passed in the X-Api-Key header with each request.

TeamUp MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: TeamUp
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add TeamUp 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

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 TeamUp. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About TeamUp MCP Server

Connect your TeamUp studio to any AI agent and manage your fitness business through natural conversation.

LlamaIndex agents combine TeamUp tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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.

What you can do

Events — View scheduled classes and events with coaches, venues, and capacity
Event Types — Browse class formats: CrossFit, Yoga, HIIT, Open Gym
Registrations — Track who booked which class and check-in status
Customers — Search members, view profiles, and track attendance
Memberships — Browse all plans with pricing and billing frequency
Coaches — List trainers with certifications and class assignments
Venues — Manage training locations and room configurations
Payments — Track revenue from memberships, drop-ins, and packages

The TeamUp MCP Server exposes 10 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 TeamUp to LlamaIndex via MCP

Follow these steps to integrate the TeamUp 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 10 tools from TeamUp

Why Use LlamaIndex with the TeamUp MCP Server

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

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

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

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

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

TeamUp + LlamaIndex Use Cases

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

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

Data enrichment: query TeamUp 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 TeamUp for fresh data

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

TeamUp MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect TeamUp to LlamaIndex via MCP:

get_customer

Get member profile

get_event

Get event details

list_coaches

List coaches and trainers

list_event_types

Includes description, default duration, and default coach. List class/event types

list_events

Filter by date range. List scheduled classes/events

list_memberships

List membership plans

list_payments

Includes amount, method, and member. List payments and revenue

list_registrations

Shows check-in status, waitlist position, and booking time. List event registrations

list_venues

Includes address and capacity. List training venues

search_customers

Returns profile, active membership, visit count, and account balance. Search members

Example Prompts for TeamUp in LlamaIndex

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

"What's this week's class schedule?"

"Check the availability of exactly 'Conference Room A' for tomorrow afternoon."

"Schedule a new event 'Q1 Review Review' in the Executive Calendar for next Monday at 10 AM."

Troubleshooting TeamUp MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

TeamUp + LlamaIndex FAQ

Common questions about integrating TeamUp 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.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query TeamUp tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.