Integration
Connect Manychat to Lakera AI Guardrails
When New or Updated Custom Field fires in Manychat, your agent runs Check for Jailbreak Attempt in Lakera AI Guardrails. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Manychat and Lakera AI Guardrails to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne 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.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)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)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)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)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)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)Example flows
What Manychat can start in Lakera AI Guardrails
When New or Updated Custom Field in Manychat
then Check for Jailbreak Attempt 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 Manychat and Lakera AI Guardrails
Triggers and actions 1 trigger · 17 actions
- New or Updated Custom Field
Triggers when a subscriber custom field is created on the Manychat page, or an existing one's name, type or description changes.
- Add custom field
Creates a new subscriber custom field on your Manychat page, with the name, data type and description you choose.
- Add tag
Creates a new tag on your Manychat page.
- Create Subscriber
Creates a new Manychat subscriber (contact) from a name plus an email, phone or WhatsApp number, and returns the created subscriber.
- Delete tag
Deletes a tag from your Manychat page and removes it from every subscriber that has it. This cannot be undone.
- Find User by Name
Returns up to 100 subscribers whose full name matches the name you specify.
- Get page info
Returns details of the connected Manychat page: its id, name, category, avatar, username, about text, description, Pro status and timezone.
- List custom fields
Returns every subscriber custom field defined on the Manychat page, with each field's id, name, type and description.
- List flows
Returns all automations (flows) on the connected Manychat page, along with the folders they are organized in.
- List tags
Returns every tag defined on your Manychat page, with each tag's id and name.
- Send flow
Sends one of your Manychat automations (flows) to a subscriber.
- Set bot field
Sets the value of a Manychat bot field (an account-wide field shared by all subscribers).
- Set Custom Field
Sets the value of one custom user field on a Manychat subscriber.
- 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.
- 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.
- Detect PII
Screens text with AI Guardrails and returns any personal information (PII) found, with its type and location in the text.
- Detect Toxicity
Screens text for toxic, hateful, violent, sexual or profane content using your AI Guardrails project policy and returns whether it was flagged.
- 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.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
Manychat and Lakera AI Guardrails, answered
What can start an automation from Manychat?
Any of Manychat's 1 trigger in the catalog, including New or Updated Custom Field. 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 Manychat?
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 Manychat?
Lakera AI Guardrails has no triggers in the catalog today, so automations start in Manychat. 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 Manychat 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 Manychat 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.