# Attention Integration | Rippit

> Connect Attention to Rippit. Bring in all your Attention data, and search calls, scorecards and deals live.

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

Data integrationMCP connector

# Attention

Bring in every one of your sales calls so Rippit can read all of them, and connect in real time to search calls, scorecards and deals in real time.

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

## Connecting Attention to Rippit

Data integration

### Rippit reads every one of your sales calls

Brings your sales calls 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 Attention.

[What you can do](#can)

MCP connector

### Agents look things up and act in Attention

Lets Rippit’s agents look things up in Attention 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 Attention data in Rippit

[How the Attention data integration works](https://www.rippit.com/integrations/docs/bulk-ingest#d-attention-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 Attention MCP connector

**7**named actions

**7**read

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

### Read & Search

On by default

-   **Search Calls**Find calls by date, rep, team, keyword, or CRM field
-   **Get Call Details**Get a call's transcript, scorecard, and insights
-   **Ask Attention**Run AI analysis across up to 25 calls or a deal
-   **Get Scorecards**List scorecards
-   **List Teams**List teams and hierarchy
-   **List Reps**List users in the Attention org
-   **Get Me**Show the connected Attention account

### Create & Update

Off until a Full Admin turns them on

Also write actions to manage scorecards, labels, snippets, teams, users and API keys. Some of these delete data.

## 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