Build solutions, not workarounds.
What do you want Langfuse and Qlik 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 can start in Qlik
When New Trace in Langfuse
then Add user in Qlik
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 Qlik
Triggers and actions 1 trigger · 23 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).
- Add app
Creates a new analytics app in your Qlik Cloud tenant, optionally placing it in a space.
- Add reload
Queues a reload of a Qlik Cloud app to refresh its data and returns the new reload record with its status.
- Add space
Creates a new space in your Qlik Cloud tenant to organize apps and control who can access them.
- Add user
Creates a user in your Qlik Cloud tenant, optionally inviting them by email and assigning roles.
- Delete app
Deletes a Qlik Cloud analytics app.
- Get app
Returns the details of a Qlik Cloud app, including its name, owner, space, publish and reload times, and your privileges on it.
- List items
Returns the items (apps, automations, datasets and other resources) the user has access to, optionally filtered by name, type, space or owner.
- List spaces
Returns the spaces you have access to in your Qlik Cloud tenant, optionally filtered by name, type, owner or role.
- List users
Returns the users in your Qlik Cloud tenant, optionally filtered and sorted.
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
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Questions
Langfuse and Qlik, 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 Qlik when something happens in Langfuse?
Any of Qlik's 9 actions, including Add app, Add reload, Add space and Add user. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Qlik to Langfuse?
Qlik has no triggers in the catalog today, so automations start in Langfuse. If you need the other direction, ask: your agent reads Qlik's API documentation and adds it.
Do I have to build a connector for Langfuse or Qlik?
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 Qlik 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.