Build solutions, not workarounds.
What do you want Langfuse and ZapCap 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 can start in ZapCap
When New Trace in Langfuse
then Add font in ZapCap
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 ZapCap
Triggers and actions 1 trigger · 27 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.
- Add font
Uploads a custom font file (TTF, OTF, WOFF or WOFF2) to ZapCap so it can be used in caption styling.
- Add video
Uploads a video (or audio file) to ZapCap from a public URL and returns the new video's id, which is used to create captioning tasks.
- Approve transcript
Approves a captioning task's transcript and starts rendering the video with the transcript currently stored on the task.
- Delete font
Deletes a custom font you uploaded to ZapCap.
- Generate video clips
Starts a ZapCap task that cuts short clips out of an uploaded long-form video. The task runs in the background; use Get clip task with the returned task id to check its status and fetch the clips.
- Get account balance
Returns the remaining API credit balance (USD) on the connected ZapCap account.
- Get clip task
Retrieves a ZapCap clip task (viral shorts generation) for a video, including its status and generated clips.
- Get font
Retrieves the details of one uploaded custom font: its file name, font family and style.
- Get transcript
Get the word-by-word transcript of a ZapCap captioning task.
- Get video task
Fetches the status and result of a captioning task by ID. An error occurs if the task is not found.
- List templates
Lists every captioning template available to the account, with its id, categories and preview links. Use a template id when creating a video processing task.
- List videos
Lists the videos uploaded to your ZapCap account, with their metadata and associated task ids.
- Process Video
Starts a captioning (processing) task on an uploaded ZapCap video using a template. The task runs asynchronously; use Get video task to check its status and fetch the rendered video.
- Update transcript
Updates an existing video task's transcript by ID before rendering.
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 ZapCap, 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 ZapCap when something happens in Langfuse?
Any of ZapCap's 14 actions, including Update transcript, Add font, Add video and Approve transcript. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from ZapCap to Langfuse?
ZapCap has no triggers in the catalog today, so automations start in Langfuse. If you need the other direction, ask: your agent reads ZapCap's API documentation and adds it.
Do I have to build a connector for Langfuse or ZapCap?
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.