Integration
Connect GPTBots and Langfuse
When something happens in GPTBots 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 GPTBots 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 GPTBots and Langfuse can do together
From GPTBots to Langfuse
When New message received in GPTBots
then Add Comment in Langfuse
When New message received in GPTBots
then Add Dataset in Langfuse
From Langfuse to GPTBots
When New Trace in Langfuse
then Create Agent Conversation in GPTBots
When New Trace in Langfuse
then Send Agent Message in GPTBots
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 GPTBots and Langfuse
Triggers and actions 2 triggers · 20 actions
Trigger
New message receivedFires when GPTBots delivers a new agent/user message via its "Webhook receives messages" mechanism under Agent API. Delivery mechanism (service webhook URL vs manual registration) needs confirming against the vendor docs at build time.
Action
Create Agent ConversationCreate an Agent conversation.
Action
Get conversationFetch a single conversation's detail by conversation ID.
Action
List conversationsList conversations for an agent, paginated.
Action
List documentsList documents in a knowledge base.
Action
List knowledge basesList knowledge bases in the workspace.
Action
Run WorkflowRun an GPTBots workflow.
Action
Send Agent MessageSend a message to an Agent.
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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Questions
GPTBots and Langfuse, answered
What can start an automation from GPTBots?
Any of GPTBots's 1 trigger in the catalog, including New message received. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Langfuse when something happens in GPTBots?
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 GPTBots?
Yes. When something happens in Langfuse, your agent can act in GPTBots too. This page covers both directions: Langfuse's triggers and GPTBots's actions are listed here as well.
Do I have to build a connector for GPTBots 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.