Integration
Connect Hjarni and Langfuse
When something happens in Hjarni 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 Hjarni 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 Hjarni and Langfuse can do together
From Hjarni to Langfuse
When New Note in Hjarni
then Add Comment in Langfuse
From Langfuse to Hjarni
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 Hjarni and Langfuse
Triggers and actions 2 triggers · 27 actions
- New Note
Triggers when a new note is created.
- Add File to Note
Attaches a file to an existing note from a URL.
- Add tag
Create a tag.
- Create Folder
Creates a new folder with a name, parent folder, description, and AI instructions.
- Create Note
Creates a new note with a title, body, tags, and folder.
- Delete folder
Delete a container.
- Delete note
Delete a note (moves to trash).
- Delete tag
Delete a tag.
- Get folder
Fetch one container by id.
- Get note
Fetch one note by id with body, tags, container, files.
- List notes
List notes, filter by scope/container_id/tag, paginated.
- List tags
List tags.
- Update folder
Update a container.
- Update note
Update note fields (title, body, tags, container, append_body etc, expected_lock_version).
- Update tag
Rename/update a tag.
- 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.
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
More from Hjarni
Hjarni to HubSpotHubSpot is your all-in-one stop for all of your marketing software needs.
Hjarni to SalesforceSalesforce is a leading enterprise customer relationship management (CRM) platform.
Hjarni to SlackSlack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...
Hjarni to MailchimpMailchimp marketing automation and email platform.
Hjarni to StripeStripe is a payment processing platform for online businesses.
Hjarni to ShopifyShopify is a commerce platform for online stores and retail point-of-sale.
More into Langfuse
Google Sheets to LangfuseGoogle Sheets
Gmail to LangfuseGmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...
Google Calendar to LangfuseGoogle Calendar is a time management tool providing scheduling features, event reminders, and integration...
Questions
Hjarni and Langfuse, answered
What can start an automation from Hjarni?
Any of Hjarni's 1 trigger in the catalog, including New Note. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Langfuse when something happens in Hjarni?
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 Hjarni?
Yes. When something happens in Langfuse, your agent can act in Hjarni too. This page covers both directions: Langfuse's triggers and Hjarni's actions are listed here as well.
Do I have to build a connector for Hjarni 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.