Integration
Connect Certifier and Langfuse
When something happens in Certifier 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 Certifier 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 Certifier and Langfuse can do together
From Certifier to Langfuse
When Credential Created in Certifier
then Add Comment in Langfuse
When Credential Downloaded in Certifier
then Add Dataset in Langfuse
From Langfuse to Certifier
When New Trace in Langfuse
then Find Credentials in Certifier
When New Trace in Langfuse
then List Designs in Certifier
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 Certifier and Langfuse
Triggers and actions 7 triggers · 15 actions
Trigger
Credential CreatedTriggers when a new credential is created
Trigger
Credential DownloadedTriggered when a recipient or guest downloads a credential. Polls Certifier's credential interaction events and emits each new credential_downloaded event.
Trigger
Credential ExpiredTriggered when a credential reaches its expiry date and its status becomes expired. Emits each newly expired credential.
Trigger
Credential IssuedTriggers when a credential is issued
Trigger
Credential SharedTriggered when a recipient or guest shares a credential to a social network or copies its link. Polls Certifier's credential interaction events and emits each new share event.
Trigger
Credential ViewedTriggered when a recipient or guest views a credential. Polls Certifier's credential interaction events and emits each new credential_viewed event.
Action
Find CredentialsReturns up to 100 Certifier credentials matching the criteria you supply — id, public id, credential template, status, recipient, or issue/expiry/created/updated date ranges. Leave a criterion blank to ignore it; with no criteria at all it returns the most recent credentials.
Action
List DesignsReturns all certificate and badge design templates available in your Certifier workspace, with each one's name, type and preview image URL.
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
Certifier and Langfuse, answered
What can start an automation from Certifier?
Any of Certifier's 6 triggers in the catalog, including Credential Created, Credential Downloaded, Credential Expired and Credential Issued. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Langfuse when something happens in Certifier?
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 Certifier?
Yes. When something happens in Langfuse, your agent can act in Certifier too. This page covers both directions: Langfuse's triggers and Certifier's actions are listed here as well.
Do I have to build a connector for Certifier 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.