Integration
Connect Langfuse to Beebole
When New Trace fires in Langfuse, your agent runs Add task in Beebole. 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 Beebole 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 can start in Beebole
When New Trace in Langfuse
then Add task in Beebole
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 Beebole
Triggers and actions 1 trigger · 41 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).
- Add expense
GraphQL mutation addExpenseRecord(date, expenseTypeId, value, currency, personId, projectId, comment); one of personId/projectId required.
- Add task
GraphQL mutation to create a task (Tasks section of Mutations docs)
- Approve timesheet
GraphQL mutation approveTimesheet(id = submit event id).
- Create Multiple Time Entries
Create a time entry on multiple days (working time or absence)
- Create Person
Creates a new person (available license is required)
- Create Project
Create a new project
- Create Subproject
Create a new subproject
- Create Time Entry
Create a new time entry (work or absence)
- Deactivate Subproject
Mark a subprojects as inactive
- Delete expense
GraphQL mutation deleteExpenseRecord(id).
- Delete Multiple Time Entries
Delete time entries on multiple days (working time or absence)
- Find Absence
Find absence (to get absence ID)
- Find Company
Find company id from name
- Find expenses
GraphQL expense record queries (Expense records section of Queries docs) with filter.
- Find Group
Find a group in Beebole. It returns the group name with slashes (/) separating the upper levels
- Find Person
Find person by name
- Find Project
Finds a project in the system with or without pattern
- Find Subroject
Finds a subproject by name
- Find tasks
GraphQL queries getTasks/getTask(id) with filter, archived, categoryId.
- Find Time Entries
GraphQL query getTimeRecords with typed filter (person, project, task, date range)
- Get Pending Approvals
Get list of managers with pending approvals.
- List Untimed Employees
Lists active people who have no worked-time entries between the start and end times.
- Reject timesheet
GraphQL mutation rejectTimesheet(id, stage, comment).
- Run Report
Get data from existing time entries
- Submit timesheet
GraphQL mutation submitTimesheet(personId, startTime, endTime); returns approval event id.
- Update Company
Update company name
- Update 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 Beebole, 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 Beebole when something happens in Langfuse?
Any of Beebole's 27 actions, including Create Multiple Time Entries, Create Person, Create Project and Create Subproject. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Beebole to Langfuse?
Beebole has no triggers in the catalog today, so automations start in Langfuse. If you need the other direction, ask: your agent reads Beebole's API documentation and adds it.
Do I have to build a connector for Langfuse or Beebole?
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.