---
title: "Connect Modulr to ChatGPT: Automate Payments and Account Transfers"
slug: connect-modulr-to-chatgpt-automate-payments-and-account-transfers
date: 2026-07-07
author: Riya Sethi
categories: ["AI & Agents"]
excerpt: "Learn how to connect Modulr to ChatGPT using a managed MCP server. Automate batch payments, Confirmation of Payee checks, and card controls with AI agents."
tldr: "A technical guide to integrating Modulr with ChatGPT via Truto's managed MCP servers. Learn how to architect tool calling for treasury operations, Confirmation of Payee checks, and card management."
canonical: https://truto.one/blog/connect-modulr-to-chatgpt-automate-payments-and-account-transfers/
---

# Connect Modulr to ChatGPT: Automate Payments and Account Transfers


If you need to give an AI assistant the ability to audit treasury balances, execute batch payouts, or issue virtual cards, you need to connect Modulr to ChatGPT. This requires a [Model Context Protocol (MCP) server](https://truto.one/what-is-mcp-and-mcp-servers-and-how-do-they-work/) - a translation layer that converts ChatGPT's natural language tool calls into authenticated REST API requests against Modulr's infrastructure. If your team uses Claude, check out our guide on [connecting Modulr to Claude](https://truto.one/connect-modulr-to-claude-manage-virtual-cards-and-banking-ops/) or explore our broader architectural overview on [connecting Modulr to AI Agents](https://truto.one/connect-modulr-to-ai-agents-orchestrate-full-fintech-workflows/).

Granting a Large Language Model (LLM) read and write access to a live financial ecosystem is a massive engineering liability. You have to handle strict API idiosyncrasies, map complex JSON schemas to MCP tool definitions, and handle financial data securely. You can either spend weeks building and auditing this infrastructure in-house, or use a managed integration layer to dynamically generate a secure, authenticated MCP server URL.

This guide breaks down exactly how to use Truto to generate a managed MCP server for Modulr, [connect it natively to ChatGPT](https://truto.one/bring-100-custom-connectors-to-chatgpt-with-superai-by-truto/), and execute complex treasury and payment workflows using natural language.

## The Engineering Reality of the Modulr API

A [custom MCP server](https://truto.one/the-hands-on-guide-to-building-mcp-servers-for-ai-agents-2026/) is a self-hosted integration proxy. While the open MCP standard provides a predictable way for models to discover tools, the reality of implementing it against a banking-as-a-service provider like Modulr is painful. You own the entire API lifecycle. Here are the specific integration challenges that break standard CRUD assumptions when working with Modulr:

**Strict Idempotency and Nonce Validation (Confirmation of Payee)**
Modulr enforces strict request uniqueness for operations like Payer Name Verification (PNV) and Confirmation of Payee (CoP). You cannot simply retry a failed request with the same payload. The Modulr API explicitly rejects requests if a previously seen nonce or unique reference is reused, returning a `403 Forbidden`. If your MCP server does not enforce dynamic nonce generation or understand how to surface these specific rejection reasons to the LLM, the model will get stuck in an infinite loop of failed retries.

**Asynchronous Payment Processing**
When you submit a payment or batch payment via the Modulr API, you do not immediately get a confirmation that the funds have settled. The API returns a `202 Accepted` status with an ID. The payment then moves through various asynchronous statuses (e.g., `PENDING_APPROVAL`, `PROCESSED`, `EXT_FAILED`). An LLM expects synchronous results. To handle this agentically, your architecture must either expose webhook listener tools to the LLM or instruct the model to explicitly poll the payment status endpoint using the returned ID.

**Deeply Nested KYB/KYC Schemas**
Creating a Modulr customer is not a simple POST request with a name and email. The `customer` object requires deep, context-dependent JSON structures depending on the legal entity type (e.g., `LTD`, `SOLE_TRADER`). You must provide nested arrays of directors, compliance associates, and registered address specifications. Mapping this exact required schema into an LLM tool definition - and keeping it updated as financial regulations change - requires constant maintenance.

**Rate Limits and 429 Handling**
Modulr heavily rate-limits expensive queries. It is a factual note on rate limits: Truto does not retry, throttle, or apply backoff on rate limit errors. When an upstream API returns HTTP 429, Truto passes that error directly to the caller. Truto normalizes upstream rate limit info into standardized headers (`ratelimit-limit`, `ratelimit-remaining`, `ratelimit-reset`) per the IETF spec. The caller - your AI agent or LLM framework - is entirely responsible for retry and exponential backoff logic. Do not expect the integration layer to magically absorb these errors.

## Step 1: Generating the Modulr MCP Server

Rather than hand-coding tool definitions for the Modulr API, Truto derives them dynamically from integration resource definitions and documentation records. A tool only appears in the MCP server if it has a corresponding documentation entry, ensuring only curated, well-described endpoints are exposed to the LLM.

You can generate an MCP server scoped to a single integrated Modulr account using either the Truto UI or the API.

### Method A: Via the Truto UI

For ad-hoc agent testing or internal treasury ops setups, the UI is the fastest path:

1. Navigate to the **Integrated Accounts** page in your Truto dashboard.
2. Select your connected Modulr instance.
3. Click the **MCP Servers** tab.
4. Click **Create MCP Server**.
5. Select your desired configuration (e.g., restricting allowed methods to `read` or specific tags like `payments`).
6. Copy the generated secure MCP server URL.

### Method B: Via the Truto API

For production use cases where you are provisioning AI agents programmatically for your users, you generate the server via a REST call.

```typescript
// POST /integrated-account/:id/mcp
const response = await fetch('https://api.truto.one/integrated-account/<MODULR_ACCOUNT_ID>/mcp', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${TRUTO_API_KEY}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    name: "Treasury Ops AI Server",
    config: {
      methods: ["read", "write"], // Optional: restrict to specific HTTP methods
      tags: ["payments", "cards"] // Optional: restrict to specific functional groups
    },
    expires_at: "2026-12-31T23:59:59Z" // Optional: set a TTL for contractor/temporary access
  })
});

const mcpServer = await response.json();
console.log(mcpServer.url); // https://api.truto.one/mcp/... 
```

The returned URL contains a cryptographically hashed token that authenticates requests and routes them securely to the specific Modulr tenant.

## Step 2: Connecting the MCP Server to ChatGPT

Once you have the URL, you need to register it with your LLM client so it can run the MCP JSON-RPC 2.0 handshake (`initialize`, `tools/list`, `tools/call`).

### Method A: Via the ChatGPT UI

If you are using ChatGPT directly:

1. Open ChatGPT and navigate to **Settings → Apps → Advanced settings**.
2. Toggle **Developer mode** on (custom MCP support is currently behind this flag for Pro, Plus, Business, and Enterprise accounts).
3. Under **MCP servers / Custom connectors**, select **Add new server**.
4. Enter a name (e.g., "Modulr Banking Ops").
5. Paste the Truto MCP URL into the Server URL field.
6. Click **Save**.

ChatGPT will immediately ping the endpoint, execute `tools/list`, and register the Modulr capabilities.

### Method B: Via Manual Config File / CLI

If you are integrating this into a custom agentic framework or using a local MCP client (like Cursor or a headless LangChain script), you can connect using the official Server-Sent Events (SSE) transport.

Create a config file (`mcp_config.json`):

```json
{
  "mcpServers": {
    "modulr_treasury": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-sse",
        "--url",
        "https://api.truto.one/mcp/<YOUR_SECURE_TOKEN>"
      ]
    }
  }
}
```

Your AI framework will handle parsing the flat input namespace returned by Truto, seamlessly separating query parameters from body parameters based on the dynamically injected JSON schemas.

## Modulr Hero Tools

Truto exposes Modulr's API endpoints as modular, callable tools. Here are 6 high-leverage hero tools your AI agent can use to orchestrate financial operations.

### 1. Execute Payments (`create_a_modulr_payment`)
Create a payment supporting Faster Payments to external bank accounts or transfers between Modulr accounts. Note that requests are processed asynchronously.

> "Initiate a payment of £5,500.00 from our primary operating account to the destination account 12345678, sort code 12-34-56. Use reference 'INV-9942'."

### 2. Verify Payer Identity (`create_a_modulr_account_name_check_payer`)
Create a Payer Name Verification (PNV) check for a BACS Direct Debit payer, verifying that the payer's name matches the bank account details submitted.

> "Run a payer name check against account number 87654321 and sort code 65-43-21 for the entity name 'Acme Corp'. Let me know if the verification passes."

### 3. Check Account Balances (`list_all_modulr_customer_accounts`)
List accounts belonging to a specific Modulr customer, filtering by balance ranges or currencies, to audit available funds.

> "Pull the current balance and available balance for all accounts under customer ID C123456. Highlight any account where the available balance has dropped below £10,000."

### 4. Create Batch Payments (`create_a_modulr_batchpayment`)
Submit multiple payment objects as a single batch request for payroll or mass vendor disbursements.

> "I have a list of 45 contractor payments to process. Create a batch payment request in Modulr funding from account A987654. Here is the CSV data for the payees and amounts."

### 5. Suspend Virtual Cards (`create_a_modulr_card_suspend`)
Suspend an existing card in Modulr to temporarily prevent new authorizations, while leaving outstanding settlements and refunds unaffected.

> "Suspend the virtual card ending in 4432 immediately. The employee reported suspicious activity on the last SaaS subscription charge."

### 6. Retrieve Customer Profiles (`get_single_modulr_customer_by_id`)
Retrieve a specific Modulr customer by unique customer reference to audit KYC/KYB status and registered addresses.

> "Look up customer ID C998877. Check their verification status and tell me if they are marked as ACTIVE or if they still have pending compliance checks."

For the complete inventory of Modulr endpoints - including VRP consents, mandate collections, and webhooks - visit the [Modulr integration page](https://truto.one/integrations/detail/modulr).

## Workflows in Action

Giving ChatGPT access to individual endpoints is useful, but the real power of MCP is orchestrating multi-step workflows. Here is how an AI agent executes complex treasury operations autonomously.

### Workflow 1: Automated Vendor Onboarding and Payout

Instead of a treasury analyst manually verifying bank details before initiating a payment, ChatGPT can handle the entire verification and disbursement flow.

> "We need to pay £2,400 to 'Nexus Logistics Ltd' for invoice 554. Their sort code is 40-12-34 and account number is 98765432. Verify their account name matches, and if it does, initiate the payment from our main operating account."

1. **Verify Identity:** The agent calls `create_a_modulr_account_name_check_payer` passing the sort code, account number, and name "Nexus Logistics Ltd".
2. **Evaluate Result:** The agent parses the CoP response. If the result indicates a strict match, it proceeds.
3. **Initiate Payment:** The agent calls `create_a_modulr_payment` using the source account ID, the verified destination details, and the amount `2400.00`.
4. **Report Status:** The agent receives the `202 Accepted` response and informs the user: *"The payee identity was successfully verified. The payment of £2,400 has been initiated (Payment ID: P12345) and is currently processing."*

```mermaid
sequenceDiagram
    participant Admin as User
    participant Agent as ChatGPT (MCP Client)
    participant Truto as Truto MCP Server
    participant ModulrAPI as Modulr API
    
    Admin->>Agent: "Verify Nexus Logistics & pay £2,400"
    
    Agent->>Truto: call create_a_modulr_account_name_check_payer
    Truto->>ModulrAPI: POST /account-name-check/payer
    ModulrAPI-->>Truto: 200 OK (Match: true)
    Truto-->>Agent: Returns CoP result
    
    Agent->>Truto: call create_a_modulr_payment
    Truto->>ModulrAPI: POST /payments
    ModulrAPI-->>Truto: 202 Accepted (Payment ID: P12345)
    Truto-->>Agent: Returns async payment payload
    
    Agent-->>Admin: "Name matched. Payment P12345 initiated."
```

### Workflow 2: Treasury Operations and Fraud Response

When suspicious activity is flagged on a corporate card, response time is critical. An agent can audit activity and lock down the card immediately.

> "Audit the recent authorizations for the marketing department's primary card. If there are any cross-border charges in the last 24 hours, suspend the card immediately and notify me."

1. **Fetch Card Details:** The agent calls `list_all_modulr_account_cards` to find the active virtual card assigned to the marketing department.
2. **Audit Activity:** The agent calls `list_all_modulr_cards_activities` passing the `card_id` and filtering by the last 24 hours.
3. **Analyze Data:** The agent reviews the transaction payload, identifying a pending cross-border authorization that violates company policy.
4. **Execute Suspension:** The agent calls `create_a_modulr_card_suspend`, permanently blocking new authorizations on that specific card ID.
5. **Confirm Action:** The agent informs the user: *"I identified a suspicious USD transaction on the marketing card (ID: V9988). I have successfully suspended the card to prevent further charges."*

## Security and Access Control

Exposing banking infrastructure to an LLM requires strict governance. Truto's MCP architecture provides multiple layers of access control out of the box:

*   **Method Filtering:** When generating the server token, you can set `config.methods: ["read"]`. The MCP router will strictly enforce this at tool generation time, silently filtering out operations like `create_a_modulr_payment` entirely. The LLM simply won't know the tool exists.
*   **Tag Filtering:** You can restrict the MCP server to specific functional domains. Setting `config.tags: ["cards"]` ensures the server only exposes virtual and physical card management tools, isolating your broader treasury and payment endpoints.
*   **API Token Auth (`require_api_token_auth`):** By default, possessing the MCP URL grants access. For high-security financial environments, you can enable this flag. The Truto router applies conditional middleware requiring the MCP client to also pass a valid Truto session token or API key in the `Authorization` header, enforcing a secondary identity check.
*   **Expiration (`expires_at`):** You can define an ISO datetime for the server to expire. The platform handles the automated cleanup jobs, instantly destroying the token metadata and severing access. This is ideal for granting an AI agent temporary audit access to your Modulr ledger.

## Next Steps

Building a custom integration proxy to connect ChatGPT to Modulr is an unnecessary engineering sink. Managing deep schemas, handling nonces, routing async payment states, and mapping JSON-RPC to REST requires constant maintenance.

By leveraging a managed infrastructure layer, you shift the burden of tool generation and schema maintenance away from your core engineering team. You get dynamically generated, fully authenticated MCP servers that instantly give your AI agents the context and capabilities they need to orchestrate financial operations.

> Stop hand-coding custom integration proxies for your AI agents. Let Truto handle the boilerplate so you can focus on building intelligent financial workflows.
>
> [Talk to us](https://cal.com/truto/partner-with-truto)
