# Connect Mailparser to IRIS KashFlow

When **New Email Parsed (One Request Per Email)** fires in [Mailparser](https://apiant.ai/connections/mailparser), your agent runs **Create Invoice** in [IRIS KashFlow](https://apiant.ai/connections/iris-kashflow). Describe the whole flow and it is built, tested on every scenario and kept running.

Mailparser **2** triggers IRIS KashFlow **5** actions

What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.

## What do you want Mailparser and IRIS KashFlow to do together?

Give your AI client this address.

`https://mcp.apiant.ai`

Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.

### Set it up in your client

### Claude Code

Run this in the directory you want to work in.

`claude mcp add --transport http -s project apiant-ai https://mcp.apiant.ai`

Start Claude Code there, approve the server, and sign in in the browser page it opens.

[Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code)

### Claude, web and desktop

Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Cursor

Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Zed

Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Codex and the ChatGPT desktop app

Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Any other MCP client

Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

Example flows

## What Mailparser can start in IRIS KashFlow

- When **New Email Parsed (One Request Per Email)** in Mailparser then **Create Invoice** in IRIS KashFlow
- When **New Email Parsed (One Request Per Email)** in Mailparser then **Create/Update Customer** in IRIS KashFlow

Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.

Everything your agent can do with Mailparser and IRIS KashFlow

## Triggers and actions 2 triggers · 5 actions

- Trigger

**New Email Parsed (One Request Per Email)**

Triggered instantly when Mailparser finishes parsing an inbound email, with all of that email's parsed data delivered in a single request. In Mailparser, open your inbox and add a Generic Webhook under Integrations/Downstream Webhooks, paste the minted URL, and set Repeating Data Behaviour to "One request per Email". Parsed fields bind as {{ trigger.body.* }}. Use the One Request Per Row trigger instead when you are parsing tabular data and want each row handled as its own run.

- Trigger

**New Email Parsed (One Request Per Row)**

Triggered instantly for EACH parsed table row when Mailparser finishes parsing an inbound email — one run per row, for tabular data such as invoice line items or price lists. In Mailparser, open your inbox and add a Generic Webhook under Integrations/Downstream Webhooks, paste the minted URL, and set Repeating Data Behaviour to "One request per row". That row's fields bind as {{ trigger.body.* }}. Use the One Request Per Email trigger instead when you want the whole email's parsed data in a single run.

- Action

**Add Payment**

Adds payment to existing invoice from your KashFlow Account

- Action

**Create Invoice**

Creating invoice for KashFlow

- Action

**Create/Update Customer**

Create/Update Customer for Kashflow

- Action

**Search Customer**

Search a latest customer from KashFlow account whose email/code/name matches given string.

- Action

**Search Invoice**

Gets a latest Invoice from KashFlow account whose invoice number or customer reference number matches given string.

## Each app on its own

- [ **Mailparser** Send emails to Mailparser, get structured data in return.](https://apiant.ai/connections/mailparser)
- [ **IRIS KashFlow** IRIS KashFlow is an easy-to-use accounting and bookkeeping software allowing you to run your business from...](https://apiant.ai/connections/iris-kashflow)

Reviews

## What our customers say

## More from Mailparser

- [ **Mailparser to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/mailparser-to-hubspot)
- [ **Mailparser to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/mailparser-to-salesforce)
- [ **Mailparser to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/mailparser-to-slack)
- [ **Mailparser to Google Sheets** Google Sheets](https://apiant.ai/connect/mailparser-to-google-sheets)
- [ **Mailparser to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/mailparser-to-gmail)
- [ **Mailparser to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/mailparser-to-google-calendar)

## More into IRIS KashFlow

- [ **HubSpot to IRIS KashFlow** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-iris-kashflow)
- [ **Salesforce to IRIS KashFlow** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-iris-kashflow)
- [ **Slack to IRIS KashFlow** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-iris-kashflow)
- [ **Google Sheets to IRIS KashFlow** Google Sheets](https://apiant.ai/connect/google-sheets-to-iris-kashflow)
- [ **Gmail to IRIS KashFlow** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-iris-kashflow)
- [ **Google Calendar to IRIS KashFlow** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-iris-kashflow)

Questions

## Mailparser and IRIS KashFlow, answered

###

### What can start an automation from Mailparser?

Any of Mailparser's 2 triggers in the catalog, including New Email Parsed (One Request Per Email) and New Email Parsed (One Request Per Row). Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in IRIS KashFlow when something happens in Mailparser?

Any of IRIS KashFlow's 5 actions, including Create Invoice, Create/Update Customer, Add Payment and Search Customer. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from IRIS KashFlow to Mailparser?

IRIS KashFlow has no triggers in the catalog today, so automations start in Mailparser. If you need the other direction, ask: your agent reads IRIS KashFlow's API documentation and adds it.

###

### Do I have to build a connector for Mailparser or IRIS KashFlow?

No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.

###

### What happens when something fails?

Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.

###

### Is there a free plan?

Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.
