Integration
Connect Langfuse and TalentLMS
When New Trace fires in Langfuse, your agent runs Add User in TalentLMS, or New Branch in TalentLMS 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 TalentLMS 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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
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 TalentLMS can do together
From Langfuse to TalentLMS
When New Trace in Langfuse
then Add User in TalentLMS
From TalentLMS 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 TalentLMS
Triggers and actions 8 triggers · 24 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).
- Custom Fields
Triggers when a new custom user field is created in your TalentLMS portal.
- New Branch
Triggers when a new branch is added to your TalentLMS portal.
- New Category
Triggers when a new course category is created in your TalentLMS portal.
- New Course
Triggers when a new course is added to your TalentLMS portal.
- New Event
Triggers when a new timeline event of the chosen type (e.g. a user completing a course) occurs in your TalentLMS portal.
- New Group
Triggers when a new group is added to your TalentLMS portal.
- New User
Triggers when a new user is added to your TalentLMS portal.
- Add Course
Creates a new course in your TalentLMS portal and returns the course's details.
- Add User
Creates a new user in your TalentLMS portal and returns the new user's details.
- Add User to Branch
Adds a TalentLMS user to a branch.
- Add User to Course
Enrolls a TalentLMS user in a course as a learner or instructor.
- Add User to Group
Adds a TalentLMS user to a group (and to the group's courses), identified by the group's key.
- Find User
Finds a TalentLMS user by email address and returns their details.
- Get course
Returns a TalentLMS course by its ID, including its enrolled users, units, rules, prerequisites and custom course field values.
- List courses
Returns every course in your TalentLMS account.
- List users
Returns every user in your TalentLMS account with their profile details.
- Remove User From Group
Removes a TalentLMS user from a group.
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 TalentLMS, 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 TalentLMS when something happens in Langfuse?
Any of TalentLMS's 10 actions, including Add Course, Add User, Add User to Branch and Add User to Course. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from TalentLMS to Langfuse?
Yes. When something happens in TalentLMS, your agent can act in Langfuse too. This page covers both directions: TalentLMS's triggers and Langfuse's actions are listed here as well.
Do I have to build a connector for Langfuse or TalentLMS?
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 TalentLMS 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.