Connect Momence to Claude: Manage Studio Sessions and Check-ins

If you need to connect Momence to Claude to automate studio management, session check-ins, or member billing, you need a Model Context Protocol (MCP) server. This server acts as the translation layer between Claude's tool calls and the Momence REST API. You can either build and maintain this infrastructure yourself, or use a managed integration platform like Truto to dynamically generate a secure, authenticated MCP server URL. If your team uses ChatGPT, check out our guide on connecting Momence to ChatGPT or explore our broader architectural overview on connecting Momence to AI Agents.

Giving a Large Language Model (LLM) read and write access to a live studio scheduling platform is an engineering challenge. You have to handle OAuth token lifecycles, map complex nested schemas for recurring bookings, and manage the strict sequencing of Momence's checkout and booking APIs. Every time the integration breaks, your front desk operations stall.

This guide breaks down exactly how to use Truto to generate a secure, managed MCP server for Momence, connect it natively to Claude Desktop or web clients, and execute complex studio workflows using natural language.

The Engineering Reality of the Momence API

A custom MCP server is a self-hosted integration layer. While the open MCP standard provides a predictable way for models to discover tools, the reality of implementing it against a specialized vendor API like Momence requires significant boilerplate.

If you decide to build a custom MCP server for Momence, you own the entire API lifecycle. Here are the specific challenges you will face when mapping Momence endpoints to LLM tools:

Strict Endpoint Sequencing for Billing and Bookings Momence enforces strict operational logic. You cannot simply charge a member for a class. You must first call a compatible memberships endpoint to verify if the member has active credits. If they do not, you must fetch prices for the cart items before executing the final host checkout. LLMs natively struggle with this kind of multi-step sequencing. They prefer to guess parameters and skip directly to the action. Truto's dynamically generated tool schemas force the LLM to follow the correct payload structures, reducing hallucinations during complex transactional flows.

Host Versus Member Scopes The Momence API heavily differentiates between host actions (studio administration) and member self-service actions. Exposing the wrong endpoints to an LLM can result in the model trying to update its own non-existent profile rather than updating a client's profile. Truto's tool tagging and method filtering allow you to restrict the MCP server strictly to host-scoped administrative endpoints.

Rate Limiting and IETF Standards Momence enforces rate limits on high-frequency polling. If you build your own server, you have to parse these limits manually. Truto normalizes the upstream rate limit data into standardized headers (ratelimit-limit, ratelimit-remaining, ratelimit-reset) per the IETF specification. It is critical to note that Truto does not retry, throttle, or apply backoff on rate limit errors. When Momence returns an HTTP 429 Too Many Requests, Truto passes that error directly to the caller. Your Claude client or agent orchestration layer is responsible for implementing retry and exponential backoff logic.

Pagination Discrepancies Momence uses specific pagination models depending on whether you are querying a list of host sessions or bulk member data. Exposing raw, varied pagination parameters to Claude often causes the model to guess cursor values, resulting in broken loops. Truto normalizes pagination across the Momence integration into a standard limit and next_cursor schema, explicitly instructing the LLM to pass cursor values back unchanged.

How to Generate a Momence MCP Server with Truto

Truto creates MCP servers dynamically based on your integrated Momence account. You can generate a server securely through the Truto dashboard or programmatically via the API.

Method 1: Via the Truto UI

For teams connecting a single studio account, the dashboard provides a fast, no-code path to generation:

1. Navigate to the Integrated Accounts page in your Truto dashboard and select your connected Momence instance.
2. Click the MCP Servers tab.
3. Click Create MCP Server.
4. Select your configuration. You can filter tools by method (e.g., read-only) or by tags (e.g., "check-ins", "memberships"). You can also set an expiration date for temporary contractor access.
5. Copy the generated MCP server URL (e.g., https://api.truto.one/mcp/abc123def456). This URL contains a securely hashed token tied specifically to this Momence tenant.

Method 2: Via the Truto API

If you are building an AI product and need to generate MCP servers dynamically for your end-users, you can POST to the Truto API. The API validates the configuration, stores the token in distributed KV storage for low-latency routing, and returns the URL.

// POST /integrated-account/:id/mcp
const response = await fetch('https://api.truto.one/integrated-account/momence_acc_123/mcp', {
  method: 'POST', 
  headers: {
    'Authorization': 'Bearer YOUR_TRUTO_API_KEY',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    name: "Momence Front Desk Agent",
    config: {
      methods: ["read", "write"], 
      tags: ["sessions", "members", "bookings"]
    },
    // Optional: Auto-expire the server after 24 hours
    expires_at: "2026-10-15T12:00:00Z"
  })
});
 
const mcpServer = await response.json();
console.log(mcpServer.url); // Pass this URL to your MCP client

Connecting the Momence MCP Server to Claude

Once you have your Truto MCP URL, you can connect it to Claude. Truto MCP URLs are fully self-contained - they handle authentication, pagination, and schema mapping over standard Server-Sent Events (SSE).

Method 1: Via the Claude UI

If you are using the Claude web interface or Claude for Enterprise (note: ChatGPT supports this via Settings -> Apps -> Custom connectors):

1. Open Claude and navigate to Settings -> Integrations -> Add MCP Server.
2. Paste the Truto MCP URL into the connection field.
3. Click Add.
4. Claude will instantly perform a handshake with Truto, fetch the JSON-RPC tool definitions, and make the Momence tools available for immediate use in your prompt window.

Method 2: Via Manual Configuration File (Claude Desktop)

For developers using Claude Desktop locally, you configure the server by editing the claude_desktop_config.json file. Truto supports standard SSE transport using the official MCP SDK.

{
  "mcpServers": {
    "momence_studio": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-sse",
        "--url",
        "https://api.truto.one/mcp/your_generated_token_here"
      ]
    }
  }
}

Restart Claude Desktop. The model will now have native access to query your studio data and manage bookings.

Hero Tools for Momence Operations

Truto automatically translates Momence endpoints into descriptive, snake_case tool names that LLMs natively understand. Here are the highest-leverage tools available for studio operations.

list_all_momence_host_sessions

Fetches a list of upcoming classes, appointments, or events for the studio. You can filter by date ranges, teachers, or locations. This is typically the first tool an agent uses to understand the daily schedule.

"What classes do we have scheduled for tomorrow afternoon between 2 PM and 6 PM, and who is teaching them?"

list_all_momence_session_bookings

Retrieves the roster of members booked into a specific session. This tool is critical for attendance tracking and understanding class capacity.

"Pull the attendee list for the 5 PM Vinyasa Yoga class (session ID: 89123)."

create_a_momence_session_booking_check_in

Marks a specific session booking as checked-in. This is the core transactional endpoint for front-desk automation.

"Mark Sarah Jenkins as checked in for her 5 PM class. Her booking ID is 55192."

list_all_momence_host_members

Queries the studio's member directory. Use this to look up a customer's member_id, contact details, and visit history before making changes to their account.

"Look up the member ID and email address for John Doe. I need to check his membership status."

list_all_momence_member_bought_memberships_actives

Lists all active subscriptions and class packs for a specific member. This is required before manually booking someone into a class to ensure they have the valid credits to attend.

"Check the active memberships for member ID 99210. Do they have any event credits left on their 10-class pack?"

create_a_momence_waitlist_booking

Adds a member to the waitlist for a full session. This is a critical workflow for managing high-demand classes without manual staff intervention.

"The 6 PM HIIT class is full. Please add Marcus Miller (member ID: 4122) to the waitlist for that session."

To view the complete inventory of available Momence operations, schema definitions, and parameters, visit the Momence integration page.

Workflows in Action

Connecting an LLM to Momence unlocks autonomous front-desk operations. Instead of clicking through a dense studio management interface, staff can use natural language to execute multi-step workflows. Here is how Claude handles real-world scenarios using the Truto MCP server.

Workflow 1: The Autonomous Front Desk Check-in

When a member walks in, the front desk agent needs to verify their identity, check their class time, and mark them as attended.

"Sarah Jenkins just walked in. She's here for the 5 PM Yoga class. Please find her account and check her in."

1. Claude calls list_all_momence_host_sessions filtering for "Yoga" and times around 5 PM to get the session_id.
2. Claude calls list_all_momence_session_bookings using the retrieved session_id to pull the roster.
3. Claude parses the roster to find Sarah Jenkins and extracts her booking_id.
4. Claude calls create_a_momence_session_booking_check_in using the booking_id.

Output: The LLM responds: "I found the 5 PM Yoga class and located Sarah Jenkins on the roster. I have successfully marked her as checked in for the session."

sequenceDiagram
    participant User as Front Desk
    participant Claude as Claude Desktop
    participant Truto as Truto MCP Server
    participant Momence as Momence API
    User->>Claude: "Check in Sarah for 5PM Yoga"
    Claude->>Truto: call list_all_momence_host_sessions
    Truto->>Momence: GET /sessions
    Momence-->>Truto: session_id: 89123
    Truto-->>Claude: session_id: 89123
    Claude->>Truto: call list_all_momence_session_bookings
    Truto->>Momence: GET /bookings
    Momence-->>Truto: booking_id: 55192
    Truto-->>Claude: booking_id: 55192
    Claude->>Truto: call create_a_momence_session_booking_check_in
    Truto->>Momence: POST /check-ins
    Momence-->>Truto: 200 OK
    Truto-->>Claude: success
    Claude-->>User: "Sarah is checked in."

Workflow 2: Waitlist Automation and Pass Verification

A member calls the studio wanting to join a class, but they aren't sure if their class pack is still active.

"Can you check if John Smith has any credits left on his account? If he does, try to book him into the 6 PM Cycling class. If it's full, put him on the waitlist."

1. Claude calls list_all_momence_search_host_members to find John Smith's member_id.
2. Claude calls list_all_momence_member_bought_memberships_actives using the member_id to verify he has remaining eventCreditsLeft.
3. Claude calls list_all_momence_host_sessions to find the 6 PM Cycling class and notes that its bookingCount equals its capacity.
4. Claude calls create_a_momence_waitlist_booking using the session_id and John's member_id.

Output: The LLM responds: "John Smith has 3 credits remaining on his 10-class pack. The 6 PM Cycling class is currently full, so I have successfully added him to the waitlist using one of his available credits."

Security and Access Control

Giving an AI agent write access to your financial and scheduling systems requires strict guardrails. Truto provides four distinct layers of access control for MCP servers:

• Method Filtering: You can restrict a server to specific HTTP verbs. Creating a server with methods: ["read"] ensures the LLM can only query data (like rosters and schedules) but cannot create bookings, process checkouts, or delete user accounts.
• Tag Filtering: You can scope tools by functional domain. Setting tags: ["sessions", "check_ins"] ensures the agent only sees tools related to class management, completely hiding sensitive HR or billing endpoints from the model's context window.
• Temporary Access (TTL): The expires_at configuration allows you to generate short-lived servers. This is highly useful for granting temporary administrative access to contractor agents or triggering time-bound automation scripts.
• API Token Authentication: By enabling require_api_token_auth, possessing the MCP URL is no longer sufficient to access the tools. The client must also pass a valid Truto API token in the authorization header, adding a strict secondary authentication layer for enterprise security requirements.

Moving Studio Operations Beyond Chat Interfaces

Connecting Momence to Claude via MCP turns your studio's scheduling and billing software into an API-driven operating system. You no longer have to manually cross-reference class packs against rosters or navigate clunky check-in screens.

Building this connector from scratch requires weeks of managing OAuth tokens, parsing strict checkout sequences, and fighting with rate limits. Using Truto, you can generate a secure, scope-restricted Momence MCP server in seconds and get straight to building autonomous studio workflows.