Momence MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Momence as an MCP tool provider through 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 Momence. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Momence?"
)
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 Momence MCP Server
Connect your Momence studio to any AI agent and manage your fitness business through natural conversation.
LlamaIndex agents combine Momence 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
- Sessions — View upcoming classes with teacher, capacity, waitlist, and streaming links
- Members — Search member database, view credits, tags, and attendance history
- Teachers — List instructors with bios, specialties, and class assignments
- Memberships — Browse plans: unlimited, class packs, intro offers, trials
- Bookings — Track who booked which session, check-in and waitlist status
- Locations — Manage multi-location studios with rooms and timezone
- Products — View retail items, digital content, and merchandise
The Momence 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 Momence to LlamaIndex via MCP
Follow these steps to integrate the Momence 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 Momence
Why Use LlamaIndex with the Momence MCP Server
LlamaIndex provides unique advantages when paired with Momence through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Momence tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Momence tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Momence, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Momence tools were called, what data was returned, and how it influenced the final answer
Momence + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Momence MCP Server delivers measurable value.
Hybrid search: combine Momence real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Momence 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 Momence for fresh data
Analytical workflows: chain Momence queries with LlamaIndex's data connectors to build multi-source analytical reports
Momence MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Momence to LlamaIndex via MCP:
get_member
Get member profile
get_session
Get session details
list_bookings
List session bookings
list_locations
List studio locations
list_memberships
List membership plans
list_products
List products/retail
list_session_types
with description, default duration, and default teacher. List class types
list_sessions
Filter by date range. List scheduled sessions
list_teachers
List teachers/instructors
search_members
Returns profile, active memberships, credits, and visit history. Search studio members
Example Prompts for Momence in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Momence immediately.
"How full are tomorrow's yoga classes?"
"List the upcoming classes for instructor Sarah."
"How many active members are on the Unlimited Monthly plan?"
Troubleshooting Momence MCP Server with LlamaIndex
Common issues when connecting Momence to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMomence + LlamaIndex FAQ
Common questions about integrating Momence 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 Momence 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 Momence to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.