---
title: "Connect Apollo to Lakera AI Guardrails - APIANT.ai"
description: "When \"Account Updated\" fires in Apollo, your agent runs \"Check for Jailbreak Attempt\" in Lakera AI Guardrails."
canonical: "https://apiant.ai/connect/apollo-to-lakera-ai-guardrails"
---

# Connect Apollo to Lakera AI Guardrails

When **Account Updated** fires in [Apollo](https://apiant.ai/connections/apollo), your agent runs **Check for Jailbreak Attempt** in [Lakera AI Guardrails](https://apiant.ai/connections/lakera-ai-guardrails). Describe the whole flow and it is built, tested on every scenario and kept running.

Apollo **4** triggers Apollo **10** actions Lakera AI Guardrails **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 Apollo and Lakera AI Guardrails to do together?

Give your AI client this address.

`https://mcp.apiant.ai`

One connection does both: ask your client to act in an app once, or have it build an automation that keeps running. 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 Apollo can start in Lakera AI Guardrails

- When **Account Updated** in Apollo then **Check for Jailbreak Attempt** in Lakera AI Guardrails
- When **Contact Updated** in Apollo then **Check for Prompt Injection** in Lakera AI Guardrails

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 Apollo and Lakera AI Guardrails

## Triggers and actions 4 triggers · 15 actions

- Trigger

**Account Updated**

Polls Apollo accounts/search for new or updated accounts (dedup on MD5 of the record; accounts/search returns no updated_at). Apollo has no record-change webhook API, so this is a polling trigger.

- Trigger

**Contact Updated**

Polls Apollo contacts/search for new or updated contacts (dedup on MD5 of the record). Apollo has no record-change webhook API, so this is a polling trigger.

- Trigger

**New Account**

Polls Apollo accounts/search for newly created accounts (dedup on account id). Apollo has no record-change webhook API, so this is a polling trigger.

- Trigger

**New Contact**

Polls Apollo contacts/search for newly created contacts (dedup on contact id). Apollo has no record-change webhook API, so this is a polling trigger.

- Action

**Create Account**

An Account is a company that your team has added to Apollo.

- Action

**Create Contact**

A Contact is a person your team has added to Apollo.

- Action

**Create Deal**

Deals are records that you can use to track possible opportunities with your prospective customers.

- Action

**Create Task**

Creates a task for the specified Apollo contact (via /tasks/bulk_create with a single contact).

- Action

**Find Contact**

Find a contact in your Apollo instance by searching for their email. If you have multiple contacts with the same email address, this search returns the contact that was created first.

- Action

**Find Deal**

Returns up to 100 deals (opportunities) that match the specified name. Leave name blank to return all deals.

- Action

**Find Task**

Returns up to 100 tasks for the specified contact. Leave contact_id blank to return all tasks.

- Action

**Update Account**

Update an existing Account.

- Action

**Update Contact**

Update an already existing Contact.

- Action

**Update Deal**

Update an already existing Deal.

- Action

**Check for Jailbreak Attempt**

Screens a piece of text with Lakera AI Guardrails and returns whether it was flagged as a jailbreak or prompt attack, with the per-detector breakdown.

- Action

**Check for Prompt Injection**

Screens a piece of text with Lakera AI Guardrails and returns whether it was flagged, with a per-detector breakdown so prompt injection detections can be checked.

- Action

**Detect PII**

Screens text with AI Guardrails and returns any personal information (PII) found, with its type and location in the text.

- Action

**Detect Toxicity**

Screens text for toxic, hateful, violent, sexual or profane content using your AI Guardrails project policy and returns whether it was flagged.

- Action

**Screen Content**

Screens an LLM conversation (and optionally tool definitions) against your AI Guardrails project policy and returns whether it was flagged, with optional per-detector breakdown and match locations.

## Each app on its own

- [ **Apollo** Apollo is a unified engagement platform that is the foundation for your entire end-to-end sales strategy.](https://apiant.ai/connections/apollo)
- [ **Lakera AI Guardrails** Lakera AI Guardrails is a security platform detecting prompt injections, jailbreaks, PII, toxicity, and...](https://apiant.ai/connections/lakera-ai-guardrails)

Reviews

## What our customers say

## More from Apollo

- [ **Apollo to Streak** Streak is a flexible CRM and process management system that lives inside your Gmail inbox.](https://apiant.ai/connect/apollo-to-streak)
- [ **Apollo to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/apollo-to-hubspot)
- [ **Apollo to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/apollo-to-salesforce)
- [ **Apollo to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/apollo-to-slack)
- [ **Apollo to Google Sheets** Google Sheets](https://apiant.ai/connect/apollo-to-google-sheets)
- [ **Apollo to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/apollo-to-gmail)

## More into Lakera AI Guardrails

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

Questions

## Apollo and Lakera AI Guardrails, answered

###

### What can start an automation from Apollo?

Any of Apollo's 4 triggers in the catalog, including Account Updated, Contact Updated, New Account and New Contact. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in Lakera AI Guardrails when something happens in Apollo?

Any of Lakera AI Guardrails's 5 actions, including Check for Jailbreak Attempt, Check for Prompt Injection, Detect PII and Detect Toxicity. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Lakera AI Guardrails to Apollo?

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

###

### Do I have to build a connector for Apollo or Lakera AI Guardrails?

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.

###

### Can my AI client use Apollo and Lakera AI Guardrails without building an automation?

Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.

###

### 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.
