Integration
Connect Langfuse and McTime
When something happens in Langfuse or McTime, 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 Langfuse and McTime 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 Langfuse and McTime can do together
From Langfuse to McTime
When New Trace in Langfuse
then Add Assignment in McTime
When New Trace in Langfuse
then Add User in McTime
From McTime to Langfuse
When New Organization in McTime
then Add Comment in Langfuse
When New Organization in McTime
then Add Dataset in 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 McTime
Triggers and actions 2 triggers · 29 actions
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.
Trigger
New OrganizationTriggered when a new organization is created in McTime.
Action
Add AssignmentAdds a user to an organization with a role (or edits an existing assignment when an Assignment ID is given) in McTime.
Action
Add UserCreate (or edit, per vendor's add-or-edit semantics) a user.
Action
Create ClientCreates a new client (an organization of type "client") in McTime.
Action
Create OrganizationCreates a new organization (project, client, branch, etc.) in McTime.
Action
Create ProjectCreates a new project in McTime. Projects are McTime organization units of type "project" that time entries can be booked against.
Action
Delete UserDeletes a McTime user by ID. All of the user's time entries and payroll results are deleted too.
Action
Find ClientReturns up to 50 McTime clients whose name contains the specified text.
Action
Find OrganizationReturns up to 50 organizations whose name contains the specified text.
Action
Find ProjectReturns up to 50 McTime projects whose name contains the specified text.
Action
Get Time EntryRetrieve a single McTime time entry by its ID.
Action
Get UserRetrieves a single McTime user by id, including roles, address, export ids and employment details.
Action
List AssignmentsLists a McTime user's assignments to organizations, grouped by role.
Action
List Time EntriesRetrieve time entries within a date range, optionally filtered by user IDs.
Action
List UsersRetrieves the users the authenticated McTime user is allowed to see, optionally filtered by user ids, organization, role and active status. Returns at most 20 users per page.
Action
Start ClockingStarts a running clock (stopwatch) for a McTime user. One user can have only one running clock at a time.
Action
Stop ClockingStops the running McTime clock for a user, turning it into a normal time entry.
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 McTime, 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 McTime when something happens in Langfuse?
Any of McTime's 16 actions, including Create Client, Create Organization, Create Project and Add Assignment. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from McTime to Langfuse?
Yes. When something happens in McTime, your agent can act in Langfuse too. This page covers both directions: McTime's triggers and Langfuse's actions are listed here as well.
Do I have to build a connector for Langfuse or McTime?
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.