Virtuagym MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Virtuagym as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
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 Virtuagym. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Virtuagym?"
)
print(response)
asyncio.run(main())
* 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 Virtuagym MCP Server
Connect your Virtuagym club to any AI agent.
LlamaIndex agents combine Virtuagym tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through the 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, profiles, body metrics, fitness progress
- Events — Group classes with trainer and capacity
- Activities — Class types: yoga, spinning, CrossFit, swimming
- Trainers — Personal trainers with specialties
- Memberships — Plans with pricing and contracts
- Nutrition Plans — Meal plans and dietary tracking (unique to Virtuagym)
- Workout Plans — Training programs with exercises and progression
The Virtuagym 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 Virtuagym to LlamaIndex via MCP
Follow these steps to integrate the Virtuagym 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 Virtuagym
Why Use LlamaIndex with the Virtuagym MCP Server
LlamaIndex provides unique advantages when paired with Virtuagym through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Virtuagym tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Virtuagym tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Virtuagym, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Virtuagym tools were called, what data was returned, and how it influenced the final answer
Virtuagym + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Virtuagym MCP Server delivers measurable value.
Hybrid search: combine Virtuagym real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Virtuagym 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 Virtuagym for fresh data
Analytical workflows: chain Virtuagym queries with LlamaIndex's data connectors to build multi-source analytical reports
Virtuagym MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Virtuagym to LlamaIndex via MCP:
get_club_info
Get club info
get_member
Get member profile
list_activities
With description and duration. List activity types
list_events
List classes/events
list_memberships
List membership plans
list_nutrition_plans
Unique to Virtuagym. List nutrition plans
list_trainers
List trainers
list_workout_plans
List workout plans
search_members
Returns profile, membership, check-in history, and fitness progress. Search gym members
Example Prompts for Virtuagym in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Virtuagym immediately.
"Check the profile for Thomas Miller and see what his current workout routine is."
"List all group classes running tomorrow morning."
Troubleshooting Virtuagym MCP Server with LlamaIndex
Common issues when connecting Virtuagym to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpVirtuagym + LlamaIndex FAQ
Common questions about integrating Virtuagym MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Virtuagym with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Virtuagym to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.