Integration
Connect Langfuse and Rendobar
When something happens in Langfuse or Rendobar, 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 Langfuse and Rendobar 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 Langfuse and Rendobar can do together
From Langfuse to Rendobar
When New Trace in Langfuse
then Add asset in Rendobar
When New Trace in Langfuse
then Add job in Rendobar
From Rendobar to Langfuse
When Job completed in Rendobar
then Add Comment in Langfuse
When Job completed in Rendobar
then Add Dataset in Langfuse
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 Langfuse and Rendobar
Triggers and actions 2 triggers · 25 actions
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.
Trigger
Job completedFires when a job finishes (success/failure). Backed by the vendor's webhook endpoint delivery mechanism, filtered to job-completion events.
Action
Add assetInitialize an asset (media file) upload.
Action
Add jobCreate a media processing job (transcode, caption, watermark, etc).
Action
Cancel jobCancel a running job.
Action
Delete assetDelete an asset by id.
Action
Get assetGet details of an asset by id.
Action
Get jobGet details of a job by id.
Action
Get job logsGet execution logs for a job.
Action
Get job outputGet the download URL/content for a completed job's output.
Action
List assetsList uploaded assets.
Action
List jobsList jobs for the account.
Action
List job typesList available job types (transcode, caption, watermark, etc).
Action
List modelsList available generation/processing models.
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
Langfuse and Rendobar, answered
What can start an automation from Langfuse?
Any of Langfuse's 1 trigger in the catalog, including New Trace. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Rendobar when something happens in Langfuse?
Any of Rendobar's 12 actions, including Add asset, Add job, Get asset and Get job. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Rendobar to Langfuse?
Yes. When something happens in Rendobar, your agent can act in Langfuse too. This page covers both directions: Rendobar's triggers and Langfuse's actions are listed here as well.
Do I have to build a connector for Langfuse or Rendobar?
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.