Integration
Connect ProProfs Project to Lakera AI Guardrails
When Completed Subtask fires in ProProfs Project, 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 ProProfs Project 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 ProProfs Project can start in Lakera AI Guardrails
When Completed Subtask in ProProfs Project
then Check for Jailbreak Attempt in Lakera AI Guardrails
When Completed Task in ProProfs Project
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 ProProfs Project and Lakera AI Guardrails
Triggers and actions 7 triggers · 12 actions
Trigger
Completed SubtaskTriggers when a subtask is marked complete in ProProfs Project.
Trigger
Completed TaskTriggers when a task is marked complete in ProProfs Project.
Trigger
New ClientTriggers when a new client is added in ProProfs Project.
Trigger
New EventTriggers when a new event is created in ProProfs Project.
Trigger
New ProjectTriggers when a new project is created in ProProfs Project.
Trigger
New SubtaskTriggers when a new subtask is created in ProProfs Project.
Trigger
New TaskTriggers when a new task is created in ProProfs Project.
Action
Create ClientCreates a new client in ProProfs Project with its contact details.
Action
Create EventCreates a calendar event in ProProfs Project, optionally linked to a project.
Action
Create ProjectCreates a new project in ProProfs Project, optionally with a client, dates, pricing and assigned users or teams.
Action
Create SubtaskCreates a subtask under an existing task in ProProfs Project.
Action
Create TaskCreates a new task in a ProProfs Project project.
Action
Get SubtaskReturns the details of a single subtask, including its parent task, project, dates, progress and assigned users.
Action
Get TaskReturns a single task by its id, including its project, dates, status and assigned users.
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
ProProfs Project and Lakera AI Guardrails, answered
What can start an automation from ProProfs Project?
Any of ProProfs Project's 7 triggers in the catalog, including Completed Subtask, Completed Task, New Client and New Event. 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 ProProfs Project?
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 ProProfs Project?
Lakera AI Guardrails has no triggers in the catalog today, so automations start in ProProfs Project. 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 ProProfs Project 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 ProProfs Project 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.