Integration
Connect Pipefile to Lakera AI Guardrails
When File Request Created fires in Pipefile, 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 Pipefile 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 Pipefile can start in Lakera AI Guardrails
When File Request Created in Pipefile
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 Pipefile and Lakera AI Guardrails
Triggers and actions 1 trigger · 15 actions
- File Request Created
Triggers when a file request is created.
- Add File Request From Template
Create a new file request from an existing template for one recipient (name/email/phone), optionally on behalf of a team member via X-Pipefile-On-Behalf-Of.
- Create Contact
Add to contacts
- Delete Contact
Delete a contact by id. Returns 204 No Content on success.
- Get Contact
Retrieve one contact by id.
- Get File Request
Retrieve detailed information about one file request by id, including contents, items, files, and tracking events.
- List Contacts
Retrieve a paginated list of contacts, filterable by name/email/phone partial match.
- List File Request Templates
Retrieve the list of file request templates available for creating new file requests, with optional name search.
- Search File Requests
Finds all file requests matching this search query (contact name, email, tags, etc).
- Send Request
Create and send a new request
- Update Contact
Update name/email/phone of an existing contact by id.
- 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
More from Pipefile
Pipefile to ChannelsChannels is a data-driven phone system that lets you make and take calls directly in the browser.
Pipefile to CleanvoiceAPI that removes filler words, silences, background noise, and mouth sounds from audio and video recordings.
Pipefile to DeBounceDeBounce is an email verification service that allows you to validate your email addresses and remove...
Pipefile to DisifyDisify checks email addresses for disposable and temporary providers.
Pipefile to SalesforceSalesforce is a leading enterprise customer relationship management (CRM) platform.
Pipefile to SlackSlack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...
More into Lakera AI Guardrails
HubSpot to Lakera AI GuardrailsHubSpot is your all-in-one stop for all of your marketing software needs.
Google Sheets to Lakera AI GuardrailsGoogle Sheets
Gmail to Lakera AI GuardrailsGmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...
Google Calendar to Lakera AI GuardrailsGoogle Calendar is a time management tool providing scheduling features, event reminders, and integration...
Questions
Pipefile and Lakera AI Guardrails, answered
What can start an automation from Pipefile?
Any of Pipefile's 1 trigger in the catalog, including File Request Created. 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 Pipefile?
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 Pipefile?
Lakera AI Guardrails has no triggers in the catalog today, so automations start in Pipefile. 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 Pipefile 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 Pipefile 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.