# Kustomer Integration | Rippit

> Connect Kustomer to Rippit. Bring in all your Kustomer data, and look up customers and articles live.

Canonical: https://www.rippit.com/integrations/kustomer

Data integrationMCP connector

# Kustomer

Bring in every one of your support conversations so Rippit can read all of them, and connect in real time to look up customers and knowledge base articles in real time.

[Connect Kustomer](https://app.rippit.com/signup)[View Kustomer docs](https://www.rippit.com/integrations/docs/bulk-ingest#d-kustomer-i)

## Connecting Kustomer to Rippit

Data integration

### Rippit reads every one of your support conversations

Brings your support conversations into Rippit so all of it can be read, not a sample. A Rippit admin connects it once. It’s read-only, so nothing changes in Kustomer.

[What you can do](#can)

MCP connector

### Agents look things up and act in Kustomer

Lets Rippit’s agents look things up in Kustomer the moment they need to, in chat, or in scheduled Agent Apps when it’s shared. A Full Admin adds it once under Connections.

[MCP tools](#acts)

## What you can do with Kustomer data in Rippit

[How the Kustomer data integration works](https://www.rippit.com/integrations/docs/bulk-ingest#d-kustomer-i)

1.  1
    
    ### Label every record with AI columns
    
    A model reads each row and applies the judgment you describe, like its topic, its sentiment, or whether it reports a bug. It runs once per record as records arrive.
    
2.  2
    
    ### Ask questions across every conversation
    
    Ask in chat about what changed or what’s missing, and Rippit reads across the entire set, not a sample.
    
3.  3
    
    ### Query it as tables
    
    Every conversation is stored as a table you can query and build reports from, so results come back fast and your helpdesk isn’t under analysis load.
    
4.  4
    
    ### Join it with your other data
    
    Use lookups and rollups to bring in accounts, orders or product usage from other tables, and roll findings up by account, topic or week.
    
5.  5
    
    ### Run it on a schedule
    
    Turn the analysis into a pipeline that runs hourly, daily, weekly or monthly, and sends the result to Slack or email.
    

## What you can do with the Kustomer MCP connector

[How the Kustomer MCP connector works](https://www.rippit.com/integrations/docs/real-time#d-kustomer-c)

Supported actions coming soon.

## Your data and creativity is your edge. Put agents on it to maximize it.

Connect your data. Launch agents.

[Start free →](https://app.rippit.com/signup)[Book a demo](https://www.rippit.com/request-demo)

## Getting started from an AI agent

There are two ways to connect. Either works.

- MCP server: `https://mcp.rippit.com/mcp` (Streamable HTTP, OAuth). The person signs in or signs up in the browser that opens. No client ID, secret or API key is needed.
- CLI: install with `curl -fsSL https://rippit.sh | sh`, then get an account one of two ways:
  - `rippit login`: the person signs in or signs up in a browser.
  - `rippit start`: creates a temporary account with no email or browser, for a person with no Rippit account. `rippit claim --wait` lets them keep it; an unclaimed account is deleted after 14 days.

Then bring in data: connect a provider such as Zendesk, Intercom, Gong or Salesforce, or upload a CSV.

Full steps: https://www.rippit.com/setup.md