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How to Use the Momence MCP in LlamaIndex

Index your Momence studio data directly into LlamaIndex to query sessions, memberships, and bookings with semantic search.

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LlamaIndex

Connect Momence MCP to LlamaIndex

Create your Vinkius account to connect Momence 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.

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Index Momence classes into LlamaIndex RAG

The `list_sessions` tool pulls live scheduling data so your agent can index class times directly into your vector store. This turns static API outputs into a searchable knowledge base where clients can query upcoming classes using natural language. By combining this with `list_session_types`, the agent understands the context of each class, including default durations and assigned teachers. Your queries return answers grounded in real-time studio data rather than outdated cache files.

Build searchable member profiles with MCP Server

Your agent uses `search_members` to retrieve detailed profiles, active memberships, and visit histories. This tool feeds raw member data directly into your LlamaIndex document store for instant retrieval during customer support interactions. When a member asks about their remaining credits, the agent queries the indexed data and uses `get_member` to verify the live status. Doing this keeps your RAG application accurate without hammering the API with redundant requests.

Index products and pricing plans

The `list_products` tool retrieves your retail inventory, while `list_memberships` pulls active pricing options. LlamaIndex indexes these lists so your agent can instantly match customer inquiries to the right purchase options. Your agent evaluates the indexed product details to suggest the best membership plan based on a client's historical visit frequency.

Setup guide

Set up Momence MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 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. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Momence MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 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 Momence tools.",
)
response = await agent.run("List recent Momence data")

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

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Real-time monitoring

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

Built-in savings

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

Single dashboard

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place for every integration

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

Common questions about Momence MCP in LlamaIndex

Initialize the BasicMCPClient with your Vinkius endpoint and convert it to a tool spec using McpToolSpec. You can then load tool outputs directly into your document indexers.
Yes. The agent uses `list_teachers` and `list_session_types` to build a semantic index of your staff and class offerings, allowing conversational search.
Yes, the server exposes `list_bookings` to retrieve live reservation lists. LlamaIndex can query this tool dynamically to check class attendance in real time.
Yes, you can use the allowed_tools filter during setup to limit the agent to specific tools like `list_products` while blocking access to member profiles.
All booking logs and class schedules processed by the MCP server run in secure, ephemeral V8 isolates. Your studio's private operational data is never stored outside your local index.

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