Integration
Connect Langfuse and Seafile
When New Trace fires in Langfuse, your agent runs Create Text File in Seafile, or New File in Seafile 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 Seafile 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 Seafile can do together
From Langfuse to Seafile
When New Trace in Langfuse
then Create Text File in Seafile
When New Trace in Langfuse
then Upload File in Seafile
From Seafile to Langfuse
When New File in Seafile
then Add Comment in Langfuse
When New or Updated File in Seafile
then Add Dataset Item 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 Seafile
Triggers and actions 3 triggers · 30 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.
Action
List TracesList traces with optional filters (user, session, tags, timerange).
Trigger
New FileTriggers when a new file is found in a library. A new file with the same file name (and path) will not trigger.
Trigger
New or Updated FileFires when a file is added to, or its content changes in, a Seafile library folder.
Action
Add libraryCreate a new library.
Action
Copy fileCopy a file to another folder/library.
Action
Create FolderCreates a new folder at the path you specify.
Action
Create Text FileCreates a new text file from plain text content you specify.
Action
Delete FileDeletes a file you specify.
Action
Delete FolderDeletes a folder in a library and move it to trash.
Action
Delete libraryDelete a library by repo id.
Action
Download FileDownloads a file from Seafile.
Action
Find Files and Folders (With Line Item Support)Returns the files and folders in a given folder.
Action
Get account infoGet current account info (name, usage, quota).
Action
Get file infoGet file details (size, mtime, id).
Action
List directory itemsList files and folders in a directory.
Action
List librariesList libraries (repos) the user can access.
Action
Move FileMoves a file to another library or folder.
Action
Rename FileRenames a file.
Action
Upload FileUploads a file to Seafile.
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 Seafile, 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 Seafile when something happens in Langfuse?
Any of Seafile's 16 actions, including Create Folder, Create Text File, Upload File and Add library. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Seafile to Langfuse?
Yes. When something happens in Seafile, your agent can act in Langfuse too. This page covers both directions: Seafile's triggers and Langfuse's actions are listed here as well.
Do I have to build a connector for Langfuse or Seafile?
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 Seafile 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.