Connect ChargeDesk to Claude: Automate Gateway Payments & Customers
from the team behind Truto
ChargeDesk in Claude, in about a minute.
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https://api.elaichi.ai/mcp
Building ChargeDesk into your own product? This guide is for you.
Connect ChargeDesk to Claude using Truto's dynamically generated MCP servers. This guide covers how to handle ChargeDesk's split-brain internal vs gateway methods, manage pagination, normalize rate limits, and automate billing workflows without writing integration code.
The developer guide
A technical guide to building a secure, managed MCP server for ChargeDesk. Learn how to connect Claude to automate live gateway payments, refunds, and subscriptions.
If your team needs to connect ChargeDesk to Claude to automate gateway payments, issue refunds, or manage customer subscriptions, you need a Model Context Protocol (MCP) server. This server acts as the translation layer between Claude's LLM tool calls and ChargeDesk's REST APIs. 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 /connect-chargedesk-to-chatgpt-manage-charges-refunds-subscriptions/ or explore our broader architectural overview on /connect-chargedesk-to-ai-agents-sync-billing-products-agent-logs/.
Giving an AI agent read and write access to a billing operations hub like ChargeDesk is an engineering challenge. ChargeDesk isn't a standalone payment processor - it is an orchestration layer sitting on top of Stripe, Braintree, PayPal, and others. Your agent must navigate a split-brain API where some endpoints merely update internal database records, while others execute live financial transactions against third-party gateways. Every time ChargeDesk updates a payload schema or alters its duplicate-handling logic, you have to update your custom MCP server code, redeploy, and test the integration.
This guide breaks down exactly how to use Truto to generate a secure, managed MCP server for ChargeDesk, connect it natively to Claude Desktop or Claude Web, and execute complex billing and customer management workflows using natural language.
The Engineering Reality of the ChargeDesk 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 specialized B2B APIs is painful. If you decide to build a custom ChargeDesk MCP server, here are the specific integration challenges you will face.
The Internal vs. Gateway Split
ChargeDesk abstracts multiple payment gateways. Because of this, its API separates "internal" state from "live" state. If an LLM calls the standard create_a_charge_desk_charge endpoint, no money moves - it only creates a record of an external charge inside ChargeDesk's internal database.
To actually charge a card or issue a refund, the LLM must call specific gateway endpoints (e.g., create_a_charge_desk_gateway_charge). An LLM has no inherent context on this distinction. If you hand-roll an MCP server without strictly defining these operational boundaries in your tool descriptions, the AI agent will confidently create phantom charges that never hit Stripe or PayPal. Managed tool generation relies on accurate documentation schemas to guide the LLM away from this trap.
Polymorphic Upsert Logic
ChargeDesk handles customer creation differently than typical REST APIs. Instead of standard POST for create and PUT/PATCH for update, the create_a_charge_desk_customer endpoint serves double duty. If you want to update an existing customer without throwing a conflict error, you must pass a specific duplicate='update' flag in the payload. Translating this behavior into a JSON schema that an LLM understands requires injecting specific instructional prompts directly into the tool definition so the model knows how to structure its payload.
Strict Rate Limit Passthrough
When connecting AI agents to APIs, aggressive tool calling can quickly exhaust rate limits. It is critical to understand how Truto handles these scenarios. Truto does not retry, throttle, or apply backoff on rate limit errors. When the upstream ChargeDesk API returns an HTTP 429 Too Many Requests error, Truto passes that error directly to the caller.
However, Truto normalizes the upstream rate limit information into standardized headers (ratelimit-limit, ratelimit-remaining, ratelimit-reset) according to the IETF specification. This means the LLM or your agent orchestrator receives a clean, standardized error response and the exact timestamp of when to retry. The calling application is strictly responsible for implementing its own retry or backoff logic.
How to Generate a Secure ChargeDesk MCP Server
Truto eliminates the need to hand-code MCP tools. Instead, it derives them dynamically from the integration's resource definitions and documentation schemas. A tool only appears in your MCP server if it has a corresponding documentation entry, ensuring the LLM only sees well-curated, documented endpoints.
Each MCP server is scoped to a single integrated account (a specific tenant's connected ChargeDesk instance). You can generate these servers via the Truto UI or programmatically via the API.
Method 1: Via the Truto UI
For internal tooling or quick deployments, the UI is the fastest path:
- Navigate to the Integrated Accounts page in your Truto dashboard and select your connected ChargeDesk account.
- Click the MCP Servers tab.
- Click Create MCP Server.
- Select your desired configuration (e.g., read-only methods, specific tags, and expiration dates).
- Copy the generated MCP server URL. It will look like this:
https://api.truto.one/mcp/a1b2c3d4e5f6...
Method 2: Via the Truto API
For production deployments where you are provisioning AI agents programmatically on behalf of your users, you will interact with the Truto REST API. Make a POST request to the /integrated-account/:id/mcp endpoint.
const response = await fetch('https://api.truto.one/integrated-account/YOUR_ACCOUNT_ID/mcp', {
method: 'POST',
headers: {
'Authorization': 'Bearer YOUR_TRUTO_API_KEY',
'Content-Type': 'application/json'
},
body: JSON.stringify({
name: "ChargeDesk Billing Agent",
config: {
methods: ["read", "write"],
tags: ["billing", "customers"]
},
expires_at: "2026-12-31T23:59:59Z"
})
});
const mcpServer = await response.json();
console.log(mcpServer.url); // The secure MCP endpoint to pass to your clientThe URL returned by this API call contains a cryptographic token that authenticates the server and scopes it entirely to this specific ChargeDesk connection.
How to Connect the MCP Server to Claude
Once you have the Truto MCP URL, connecting it to Claude requires zero additional backend configuration. The URL is entirely self-contained.
Option A: Connecting via the Claude UI (Web/Enterprise)
If your organization uses Claude Enterprise or Team plans, you can add remote MCP servers directly through the interface:
- In Claude, navigate to Settings -> Integrations.
- Click Add MCP Server (or Custom Connector).
- Provide a name (e.g., "ChargeDesk Billing").
- Paste the Truto MCP URL into the Server URL field.
- Click Add. Claude will immediately execute a
tools/listJSON-RPC handshake to discover the available ChargeDesk operations.
(Note: If you use ChatGPT, the flow is virtually identical: Settings -> Apps -> Advanced settings -> Enable Developer mode -> Add under Custom connectors).
Option B: Connecting via Claude Desktop Config File
For developers using the local Claude Desktop app, you connect to remote SSE (Server-Sent Events) MCP servers using a configuration file.
Open your claude_desktop_config.json file (typically located in ~/Library/Application Support/Claude/ on macOS or %APPDATA%\Claude\ on Windows) and add the following configuration. You will use the official @modelcontextprotocol/server-sse npx package to proxy the connection.
{
"mcpServers": {
"chargedesk_billing": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-sse",
"https://api.truto.one/mcp/a1b2c3d4e5f6..."
]
}
}
}Restart Claude Desktop. The agent is now fully equipped to read and write data to ChargeDesk.
Hero Tools for ChargeDesk
Truto exposes dozens of endpoints for ChargeDesk, automatically mapped into a flat input namespace where query parameters and body payloads are resolved intelligently. Here are the highest-leverage tools available to your agent.
create_a_charge_desk_gateway_charge
This is the primary tool for actually processing payments. It instructs ChargeDesk to hit the underlying payment gateway (Stripe, Braintree, etc.) to charge a customer's card on file, start a subscription, or generate a payment link. It requires using, amount, currency, and customer.id.
"Find the customer record for john.doe@example.com. Once you have their ID, create a new live gateway charge for $150 USD using their card on file."
charge_desk_gateway_charges_refund
Automates the refund process directly through the originating gateway. Instead of a support rep logging into Stripe to find a transaction, the LLM takes the ChargeDesk charge_id and processes the refund securely.
"The customer associated with charge ID ch_12345 requested a cancellation. Issue a full refund for this gateway charge immediately."
list_all_charge_desk_charges
Retrieves historical charge records. Crucial for agents performing support operations or financial auditing. It supports limit and offset parameters to handle pagination across massive transaction histories.
"List the last 50 charges processed in the system. Filter the results and tell me how many were successfully captured versus refunded."
charge_desk_gateway_subscriptions_cancel
Cancels active recurring billing directly on the payment gateway. It returns the updated subscription object with the canceled_at timestamp.
"Find the active subscription for customer sub_98765 and cancel it to prevent any future billing cycles."
create_a_charge_desk_customer
Creates a new customer record or updates an existing one. Remember that passing duplicate='update' modifies the existing record matching the ID, preventing conflict errors.
"Create a new customer profile for Jane Smith (jane@example.com). If a customer with that ID already exists, update their record with her new phone number instead."
list_all_charge_desk_agent_activity_logs
Retrieves the audit trail of agent actions within the ChargeDesk account. This is invaluable for compliance agents that need to verify who issued a refund or updated a billing profile.
"Pull the agent activity logs for the last 24 hours. Identify any refunds issued and list the agent email associated with each action."
To view the complete inventory of available tools, detailed JSON schemas, and required parameters, visit the ChargeDesk integration page.
Workflows in Action
MCP tools transform Claude from a chatbot into a billing operations engine. By chaining multiple tools together, the LLM can execute complex workflows autonomously. Here is how that looks in practice.
Workflow 1: The Support Escalation (Refund & Audit)
Persona: Support Operations Manager
Goal: Refund a specific charge and verify that the system logged the action correctly.
"Please locate the charge ID ch_998877. Refund the charge through the gateway, and then query the agent activity logs to confirm the refund was recorded properly."
Execution Steps:
get_single_charge_desk_charge_by_id: Claude calls this tool passingid: "ch_998877"to verify the charge exists and is currently in a paid status.charge_desk_gateway_charges_refund: Claude invokes the gateway refund tool, passing thecharge_id. The underlying payment processor executes the refund.list_all_charge_desk_agent_activity_logs: Claude pulls the recent audit logs, searching the returned payload for anaction_typematching the refund to confirm system integrity.
sequenceDiagram
participant User as User Prompt
participant Claude as Claude Desktop
participant Truto as Truto MCP Server
participant ChargeDesk as ChargeDesk API
User->>Claude: "Refund charge ch_998877 and verify logs"
Claude->>Truto: Call get_single_charge_desk_charge_by_id<br>{"id": "ch_998877"}
Truto->>ChargeDesk: GET /v1/charges/ch_998877
ChargeDesk-->>Truto: 200 OK (Charge Details)
Truto-->>Claude: JSON response
Claude->>Truto: Call charge_desk_gateway_charges_refund<br>{"charge_id": "ch_998877"}
Truto->>ChargeDesk: POST /v1/gateway_charges/ch_998877/refund
ChargeDesk-->>Truto: 200 OK (Refund Processed)
Truto-->>Claude: JSON response
Claude->>Truto: Call list_all_charge_desk_agent_activity_logs
Truto->>ChargeDesk: GET /v1/agent_activity_logs
ChargeDesk-->>Truto: 200 OK (Log Array)
Truto-->>Claude: JSON response
Claude-->>User: "Refund processed successfully. Log verified."Workflow 2: Sales Handoff (Customer & Subscription Creation)
Persona: Sales Representative
Goal: Onboard a newly closed deal by creating their customer profile and initiating their recurring billing.
"We just closed Acme Corp. Create a customer profile for them using ID acme_001, email billing@acmeco.com. Then, create a live subscription for $500 USD per month using their card on file."
Execution Steps:
create_a_charge_desk_customer: Claude passes the customer data, ensuring thecustomer_idis set toacme_001.create_a_charge_desk_gateway_charge: Claude recognizes the request for a subscription. It calls the gateway tool passingamount: 500,currency: "USD",customer.id: "acme_001", and injects theproduct.intervalparameter to instruct ChargeDesk to initiate a recurring subscription rather than a one-time charge.
The LLM receives the newly created subscription object and reports the generated subscription_id back to the user.
Security and Access Control
Exposing financial operations to an LLM requires strict governance. Truto MCP servers provide multiple layers of access control out-of-the-box.
- Method Filtering: When generating the server, you can pass
config.methods: ["read"]to ensure the server only derivesgetandlistoperations. This creates a safe, read-only agent for reporting, completely stripping its ability to create charges or issue refunds. - Tag Filtering: You can restrict tools by functional area using
config.tags: ["customers"]. The resulting server will only expose customer-related endpoints, hiding all gateway payment tools. - Extra Authentication (
require_api_token_auth): By default, possessing the MCP URL grants access. By setting this flag to true, the client must also pass a valid Truto API token in theAuthorizationheader. This ensures that even if the URL is leaked in a log file, unauthorized execution is prevented. - Automatic Expiration (
expires_at): You can bind a strict TTL to the server. Truto uses distributed alarms to automatically destroy the token and its associated KV storage once the timestamp is reached, perfect for temporary contractor access or ephemeral CI/CD workflows.
Moving Forward
Connecting Claude to ChargeDesk via a raw custom integration requires constant maintenance of authentication states, deeply nested schema mappings, and distinct handling of gateway versus internal endpoints.
By leveraging Truto's dynamically generated MCP servers, you eliminate the integration code entirely. You get standardized rate limit headers, explicit tool definitions that guide LLMs away from hallucinated payloads, and strict access controls to protect your billing infrastructure.
This architecture lets your engineering team focus on building better AI agent experiences, rather than babysitting payment gateway APIs.
FAQ
- What is the easiest way to connect ChargeDesk to Claude?
- The best way to connect ChargeDesk to Claude is Elaichi: connect ChargeDesk to Elaichi once, then add Elaichi to Claude as a connector. Two steps, about a minute, with a 14-day free trial and no credit card required.
- Can Claude process live payments through ChargeDesk?
- Yes. By exposing ChargeDesk's gateway methods (e.g., create_a_charge_desk_gateway_charge) via MCP, Claude can instruct the underlying payment gateway (Stripe, Braintree, PayPal) to process live charges and subscriptions.
- How does Truto handle ChargeDesk API rate limits?
- Truto acts as a pass-through and normalizes rate limit data. It does not automatically retry or absorb HTTP 429 errors. Instead, it passes the error back to the caller while normalizing the rate limit info into standard IETF headers (ratelimit-limit, ratelimit-remaining, ratelimit-reset) so your AI agent can manage its own backoff strategy.
- How do I prevent an AI agent from accidentally deleting customer data?
- When creating the Truto MCP server, you can apply method filtering (e.g., methods: ["read", "create", "update"]) to explicitly strip out delete operations. The resulting MCP server will simply not expose the delete_a_charge_desk_customer_by_id tool to the LLM.
- How is the MCP server authenticated?
- Truto generates a unique, cryptographically hashed token embedded in the MCP server URL. For higher security, you can enforce require_api_token_auth, which requires the MCP client to also pass a valid Truto API token in the Authorization header.