Integration
Connect CoachAccountable and Langfuse
When something happens in CoachAccountable or Langfuse, your agent does the next thing in the other. Describe it 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 CoachAccountable and Langfuse 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 CoachAccountable and Langfuse can do together
From CoachAccountable to Langfuse
When New Client in CoachAccountable
then Add Comment in Langfuse
When New Coach in CoachAccountable
then Add Dataset in Langfuse
From Langfuse to CoachAccountable
When New Trace in Langfuse
then Add Invoice Payment in CoachAccountable
When New Trace in Langfuse
then Add New Action in CoachAccountable
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 CoachAccountable and Langfuse
Triggers and actions 6 triggers · 23 actions
Trigger
New ClientTriggers when a new client is created.
Trigger
New CoachTriggers when a new coach is created.
Trigger
New InvoiceTriggers when a new client invoice is created.
Trigger
New Invoice PaymentTriggers when a new payment is posted for an invoice.
Trigger
New SessionTriggers when a new Session is marked complete.
Action
Activate ClientActivates a Client.
Action
Add Invoice PaymentPosts a payment to a Client Invoice.
Action
Add New ActionAdds an action for a specific client.
Action
Add New ClientAdds a new Client.
Action
Add New InvoiceAdds a new invoice.
Action
Add SessionLog a new coaching session for a client.
Action
Get ClientRetrieve a single client by ID.
Action
List ClientsList all clients on the account.
Action
Mark Action DoneMarks an existing client Action done.
Action
Update ClientUpdate an existing client's profile fields.
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.
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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More into Langfuse
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Questions
CoachAccountable and Langfuse, answered
What can start an automation from CoachAccountable?
Any of CoachAccountable's 5 triggers in the catalog, including New Client, New Coach, New Invoice and New Invoice Payment. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Langfuse when something happens in CoachAccountable?
Any of Langfuse's 13 actions, including Add Comment, Add Dataset, Add Dataset Item and Add Prompt. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Langfuse to CoachAccountable?
Yes. When something happens in Langfuse, your agent can act in CoachAccountable too. This page covers both directions: Langfuse's triggers and CoachAccountable's actions are listed here as well.
Do I have to build a connector for CoachAccountable or Langfuse?
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.