Integration
Connect Langfuse and Wishpond
When New Trace fires in Langfuse, your agent runs Create Lead in Wishpond, or New Event on Lead in Wishpond 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 Wishpond 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 Wishpond can do together
From Langfuse to Wishpond
When New Trace in Langfuse
then Create Lead in Wishpond
When New Trace in Langfuse
then Find Lead by Email in Wishpond
From Wishpond to Langfuse
When New Event on Lead in Wishpond
then Add Comment in Langfuse
When New Lead in Wishpond
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 Wishpond
Triggers and actions 5 triggers · 23 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 Event on LeadTriggers when a chosen Wishpond lead performs a new event or activity.
Trigger
New LeadTriggers when a new lead is created in Wishpond.
Trigger
New Lead on ListTriggers when a lead is added to a chosen Wishpond list.
Trigger
New ListTriggers when a new list is created in Wishpond.
Action
Create LeadCreates a new Wishpond lead from an email address and optional name.
Action
Create ListCreates a new static list in Wishpond.
Action
Delete LeadPermanently deletes a Wishpond lead and all of its events.
Action
Delete ListDeletes a Wishpond list.
Action
Find Lead by EmailFinds Wishpond leads whose email address starts with the given text.
Action
Get LeadReturns one Wishpond lead by its ID, including its email, status, score and custom attributes.
Action
Get ListReturns one Wishpond list by its ID, including its name, type and lead count.
Action
Remove Lead from ListRemoves a Wishpond lead from a static list.
Action
Update ListRenames a static Wishpond list.
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 Wishpond, 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 Wishpond when something happens in Langfuse?
Any of Wishpond's 9 actions, including Create Lead, Create List, Update List and Find Lead by Email. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Wishpond to Langfuse?
Yes. When something happens in Wishpond, your agent can act in Langfuse too. This page covers both directions: Wishpond's triggers and Langfuse's actions are listed here as well.
Do I have to build a connector for Langfuse or Wishpond?
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 Wishpond 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.