Integration
Connect One Tap to Lakera AI Guardrails
When New Participant Check-in fires in One Tap, 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 One Tap 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 One Tap can start in Lakera AI Guardrails
When New Participant Check-in in One Tap
then Check for Jailbreak Attempt in Lakera AI Guardrails
When New Profile in One Tap
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 One Tap and Lakera AI Guardrails
Triggers and actions 2 triggers · 26 actions
Trigger
New Participant Check-inTriggered when a participant is checked in on a One Tap list.
Trigger
New ProfileTriggered when a new person profile is created in One Tap.
Action
Add Punch PassCreates a punch pass for a profile, giving them a set number of check-ins that can be redeemed over time. Returns the new punch pass.
Action
Check in participantChecks in a participant on a One Tap list, recording the check-in time, location and method. Returns the updated participant.
Action
Check out participantChecks out a participant on a One Tap list, recording the check-out time, location and method. Returns the updated participant.
Action
Create ListCreates a new list (event) in One Tap that people can be checked in to. Returns the new list.
Action
Create ParticipantAdds a profile to a One Tap list as a participant, optionally recording a check-in or check-out at the same time. Returns the new participant.
Action
Create ProfileCreates a new person profile in One Tap, including any custom fields the account has defined. Returns the new profile.
Action
Delete ListDeletes a list (event) from One Tap. Returns the vendor's confirmation of the deletion.
Action
Delete PassDeletes a pass from One Tap so it can no longer be used to check in. Returns the vendor's confirmation of the deletion.
Action
Delete ProfileDeletes a person's profile from One Tap. Returns the vendor's confirmation of the deletion.
Action
Get ListReturns a single One Tap list (event) with its schedule, check-in settings and survey data.
Action
Get ListsReturns the lists (events) in the One Tap account, with optional filtering by name, date range, type or parent list.
Action
Get Participants on ListReturns the participants on a One Tap list, with their check-in and check-out details.
Action
Get PassesReturns the passes in the One Tap account, optionally limited to one profile, participant or pass type.
Action
Get ProfileReturns a single person's profile from One Tap, including the account's custom fields.
Action
Get Profile PassesReturns the passes belonging to one person's profile in One Tap.
Action
Get ProfilesReturns the people profiles in the One Tap account, with optional search, favorite filtering and sorting.
Action
Redeem Punch PassRedeems one punch on a punch pass by linking it to a check-in. Returns the updated punch pass.
Action
Remove ParticipantRemoves a participant from a One Tap list. Returns the vendor's confirmation of the removal.
Action
Update ListUpdates a One Tap list (event) — its name, dates, description and check-in settings. Only the values supplied are changed. Returns the updated list.
Action
Update ParticipantUpdates a participant's check-in and check-out details on a One Tap list. Only the values supplied are changed. Returns the updated participant.
Action
Update ProfileUpdates a person's profile in One Tap, including the account's custom fields. Only the values supplied are changed. Returns the updated profile.
Action
Check for Jailbreak AttemptScreens 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 InjectionScreens 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 PIIScreens text with AI Guardrails and returns any personal information (PII) found, with its type and location in the text.
Action
Detect ToxicityScreens text for toxic, hateful, violent, sexual or profane content using your AI Guardrails project policy and returns whether it was flagged.
Action
Screen ContentScreens 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
One Tap and Lakera AI Guardrails, answered
What can start an automation from One Tap?
Any of One Tap's 2 triggers in the catalog, including New Participant Check-in and New Profile. 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 One Tap?
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 One Tap?
Lakera AI Guardrails has no triggers in the catalog today, so automations start in One Tap. 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 One Tap 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 One Tap 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.