Integration
Connect Tumblr to Lakera AI Guardrails
When New Post in My Blog fires in Tumblr, 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 Tumblr 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 Tumblr can start in Lakera AI Guardrails
When New Post in My Blog in Tumblr
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 Tumblr and Lakera AI Guardrails
Triggers and actions 2 triggers · 25 actions
- New Post in My Blog
Triggers when a new post is created in a specific blog you own.
- New Tagged Post
Triggers when a new post is created on any blog with a specific tag you choose.
- Create Audio Post
Creates a new audio post.
- Create Link Post
Creates a new link post.
- Create Photo Post
Creates a new photo post.
- Create Quote Post
Creates a new quote post.
- Create Text Post
Creates a new text post.
- Create Video Post
Creates a new video post.
- Delete post
Delete a post.
- Find posts by tag
Search public posts with a tag.
- Follow blog
Follow a blog as the user.
- Get blog info
Retrieve blog metadata.
- Get post
Fetch a single post by id.
- Get user info
Get the authenticated user's info and blogs.
- Like post
Like a post.
- List draft posts
List draft posts of a blog.
- List posts
List published posts of a blog, filterable by type/tag/id.
- List queued posts
List posts in a blog's queue.
- Reblog post
Reblog a post to a blog with optional comment.
- Unfollow blog
Unfollow a blog.
- Unlike post
Remove a like from a post.
- Update post
Edit an existing post.
- 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
Tumblr and Lakera AI Guardrails, answered
What can start an automation from Tumblr?
Any of Tumblr's 2 triggers in the catalog, including New Post in My Blog and New Tagged Post. 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 Tumblr?
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 Tumblr?
Lakera AI Guardrails has no triggers in the catalog today, so automations start in Tumblr. 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 Tumblr 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 Tumblr 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.