Integration
Connect Langfuse to CARTO
When New Trace fires in Langfuse, your agent runs Add SQL job in CARTO. 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 CARTO 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 can start in CARTO
When New Trace in Langfuse
then Add SQL job in CARTO
When New Trace in Langfuse
then Calculate isoline in CARTO
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 CARTO
Triggers and actions 1 trigger · 22 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.
Action
List TracesList traces with optional filters (user, session, tags, timerange).
Action
Add SQL jobStarts an asynchronous SQL job in your data warehouse through a CARTO connection, for queries that take longer than a minute. Returns the job id to check its progress.
Action
Calculate isolineReturns the area reachable from a point within a travel time or distance, as a GeoJSON polygon collection.
Action
Calculate routeCalculates a route between an origin and a destination, optionally through intermediate waypoints, using your organization's location data provider.
Action
Delete SQL jobCancels a running SQL job on one of your CARTO data warehouse connections.
Action
Geocode addressReturns coordinates and address details for a street address, using your organization's configured geocoding provider.
Action
Get SQL jobReturns a SQL job's current status and details, so you can check whether a long-running query has finished.
Action
Reverse geocodeReturns the street address closest to a latitude/longitude pair.
Action
Run SQL queryRuns a SQL query in your data warehouse through a CARTO connection and returns the resulting rows and column schema.
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 CARTO, 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 CARTO when something happens in Langfuse?
Any of CARTO's 8 actions, including Add SQL job, Calculate isoline, Calculate route and Geocode address. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from CARTO to Langfuse?
CARTO has no triggers in the catalog today, so automations start in Langfuse. If you need the other direction, ask: your agent reads CARTO's API documentation and adds it.
Do I have to build a connector for Langfuse or CARTO?
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 CARTO 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.