Integration
Connect Langfuse and Transkriptor
When New Trace fires in Langfuse, your agent runs Rename File in Transkriptor, or New Transcription in Transkriptor to Add Comment in Langfuse. 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 Langfuse and Transkriptor 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 Langfuse and Transkriptor can do together
From Langfuse to Transkriptor
When New Trace in Langfuse
then Rename File in Transkriptor
From Transkriptor to 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 Transkriptor
Triggers and actions 2 triggers · 26 actions
- New Trace
Polling trigger: fires for newly created traces (dedup by trace id / timestamp).
- Add Comment
Add a comment to a trace/observation/session/prompt object.
- Add Dataset
Create a new dataset.
- Add Dataset Item
Create an item (input/expected_output/metadata) in a dataset.
- Add Prompt
Create a new prompt version (text or chat).
- Add Score
Create a score attached to a trace/observation/session (numeric, categorical, or boolean).
- Delete Trace
Delete a trace by id.
- Get Project
Reads the Langfuse project that the connection's project-scoped API key belongs to.
- Get Prompt
Get a prompt by name (and optional version/label).
- Get Trace
Get a single trace by id, including nested observations/scores.
- List Dataset Items
List items in a dataset.
- List Datasets
List all datasets in the project.
- List Prompts
List all prompts in the project.
- List Scores
List scores with optional filters.
- List Traces
List traces with optional filters (user, session, tags, timerange).
- New Transcription
Triggers when a new transcription file appears in your Transkriptor account.
- Delete File
Deletes a transcription file.
- Export Transcript
Exports a transcript as a TXT, PDF, DOCX, SRT or CSV file and returns a download link.
- Get Account
Returns your Transkriptor account details, including email and remaining transcription minutes.
- Get File
Returns the details of one transcription file, such as its name, status and language.
- Get Meeting
Returns details of a recorded meeting, including its status and transcription order ID.
- Get Summary
Returns a link to the AI summary of a transcription.
- Get Transcript Content
Returns the transcript of a file as a list of speaker segments with their text and timings.
- List Files
Returns all of your transcription files.
- List Folders
Returns all of your folders.
- Rename File
Renames a transcription file.
- Transcribe Audio or Video File
Starts transcribing an audio or video file from a URL (YouTube, Google Drive, Dropbox, OneDrive or a direct link).
- Transcribe Meeting
Sends a Transkriptor bot to join a Google Meet, Microsoft Teams or Zoom meeting and transcribe it.
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 Transkriptor, 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 Transkriptor when something happens in Langfuse?
Any of Transkriptor's 12 actions, including Export Transcript, Get Account, Get File and Get Meeting. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Transkriptor to Langfuse?
Yes. When something happens in Transkriptor, your agent can act in Langfuse too. This page covers both directions: Transkriptor's triggers and Langfuse's actions are listed here as well.
Do I have to build a connector for Langfuse or Transkriptor?
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 Langfuse and Transkriptor 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.