Integration
Connect Langfuse and Severa
When New Trace fires in Langfuse, your agent runs Create Address for Customer in Severa, or New Phase Is Created in Severa 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 Severa 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)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 Severa can do together
From Langfuse to Severa
When New Trace in Langfuse
then Create Address for Customer in Severa
From Severa to 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 Severa
Triggers and actions 5 triggers · 22 actions
- 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.
- List Traces
List traces with optional filters (user, session, tags, timerange).
- New Phase Is Created
Triggered when a new phase is created in Severa, optionally limited to a phase code or specific projects.
- New Project Is Created
Triggers when a new project is created in Severa.
- Phase Status Change
Triggers when a phase's status changes in Severa, including the status a new phase starts with.
- Project Status Change
Triggers when a project's status changes in Severa. Returns the project with its new status.
- Create Activity
Creates an activity (calendar entry, task, sales event or absence) in Severa.
- Create Address for Customer
Creates a new address on a Severa customer and returns the created address.
- Create Contact for Customer
Creates a contact person under an existing Severa customer and returns the new contact.
- Create Phase
Creates a new phase under a project's phase hierarchy in Severa.
- Search Customer Contacts
Searches a customer's contact persons by name, phone number or email address, returning up to 100 matching contacts.
- Search Customers
Searches Severa customers by name, email, customer number, VAT or KVK number, owner, status or change date and returns the matching customers.
- Search Invoices
Searches Severa invoices by customer, project, status, number, reference number, dates or totals and returns the matching invoices.
- Search Projects
Returns the projects that match the criteria you specify, such as project number, customer, status, owner or change date.
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 Severa, 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 Severa when something happens in Langfuse?
Any of Severa's 8 actions, including Create Activity, Create Address for Customer, Create Contact for Customer and Create Phase. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Severa to Langfuse?
Yes. When something happens in Severa, your agent can act in Langfuse too. This page covers both directions: Severa's triggers and Langfuse's actions are listed here as well.
Do I have to build a connector for Langfuse or Severa?
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 Severa 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.