Integration
Connect ContentStudio and Langfuse
When something happens in ContentStudio or Langfuse, your agent does the next thing in the other. Describe it 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 ContentStudio and Langfuse to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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 ContentStudio and Langfuse can do together
From ContentStudio to Langfuse
When List Campaigns in ContentStudio
then Add Comment in Langfuse
When List Labels in ContentStudio
then Add Dataset in Langfuse
From Langfuse to ContentStudio
When New Trace in Langfuse
then Add Campaign in ContentStudio
When New Trace in Langfuse
then Add Label in ContentStudio
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 ContentStudio and Langfuse
Triggers and actions 6 triggers · 22 actions
Trigger
List CampaignsLists campaigns (folders) in a workspace. Useful for getting campaign IDs to assign to posts.
Trigger
List LabelsLists labels in a workspace. Useful for getting label IDs to assign to posts.
Trigger
List MediaLists media assets in a workspace media library with filtering, search, and sort options.
Trigger
List Team MembersLists team members in a workspace. Useful for getting user IDs for approval workflows.
Trigger
List WorkspacesReturns all workspaces you have access to so you can choose where to post.
Action
Add CampaignCreate a new campaign in a workspace to group posts.
Action
Add LabelCreate a new label for organizing posts.
Action
Delete CampaignDelete a campaign.
Action
Delete LabelDelete a label.
Action
Delete WorkspaceDelete a workspace.
Action
Update CampaignUpdate an existing campaign's details.
Action
Update LabelUpdate an existing label's name or color.
Action
Update WorkspaceUpdate an existing workspace's settings.
Action
Upload MediaUploads a media file from URL into the workspace media library.
Trigger
New TracePolling trigger: fires for newly created traces (dedup by trace id / timestamp).
Action
Add CommentAdd a comment to a trace/observation/session/prompt object.
Action
Add DatasetCreate a new dataset.
Action
Add Dataset ItemCreate an item (input/expected_output/metadata) in a dataset.
Action
Add PromptCreate a new prompt version (text or chat).
Action
Add ScoreCreate a score attached to a trace/observation/session (numeric, categorical, or boolean).
Action
Delete TraceDelete a trace by id.
Action
Get ProjectReads the Langfuse project that the connection's project-scoped API key belongs to.
Action
Get PromptGet a prompt by name (and optional version/label).
Action
Get TraceGet a single trace by id, including nested observations/scores.
Action
List Dataset ItemsList items in a dataset.
Action
List DatasetsList all datasets in the project.
Action
List PromptsList all prompts in the project.
Action
List ScoresList scores with optional filters.
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
ContentStudio and Langfuse, answered
What can start an automation from ContentStudio?
Any of ContentStudio's 5 triggers in the catalog, including List Campaigns, List Labels, List Media and List Team Members. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Langfuse when something happens in ContentStudio?
Any of Langfuse's 13 actions, including Add Comment, Add Dataset, Add Dataset Item and Add Prompt. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Langfuse to ContentStudio?
Yes. When something happens in Langfuse, your agent can act in ContentStudio too. This page covers both directions: Langfuse's triggers and ContentStudio's actions are listed here as well.
Do I have to build a connector for ContentStudio or Langfuse?
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.
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.