Integration
Connect Langfuse to Brand.dev
When New Trace fires in Langfuse, your agent runs Find rows in a collection in Brand.dev. 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 Brand.dev 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 Brand.dev
When New Trace in Langfuse
then Find rows in a collection in Brand.dev
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 Brand.dev
Triggers and actions 1 trigger · 33 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 a monitor
Create a website change monitor.
- Delete a collection
Delete a WebDBs data collection.
- Delete a monitor
Delete a website change monitor.
- Extract Products From a Brand's Website
Beta feature: Extract product information from a brand's website. Brand.dev will analyze the website and return a list of products with details such as name, description, image, pricing, features, and more.
- Find rows in a collection
Query rows stored in a WebDBs data collection.
- Get a batch
Retrieve a batch's status by ID.
- Get a monitor
Retrieve a website change monitor by ID.
- Get batch results
Retrieve the results of a completed batch.
- List batches
List submitted batches.
- List collections
List WebDBs data collections.
- List monitors
List website change monitors.
- Query Website Data Using AI
Use AI to extract specific data points from a brand's website. The AI will crawl the website and extract the requested information based on the provided data points.
- Retrieve Brand Data by Company Name
Retrieve brand information using a company name. This endpoint searches for the company by name and returns its brand data.
- Retrieve person
Retrieve a person's profile data.
- Retrieve Simplified Brand Data by Domain
Returns a simplified version of brand data containing only essential information: domain, title, colors, logos, and backdrops. This endpoint is optimized for faster responses and reduced data transfer.
- Run a monitor
Trigger a website change monitor to run immediately.
- Search company news
Search for recent news articles about a company or brand.
- Update a collection
Update a WebDBs data collection's configuration.
- Update a monitor
Update a website change monitor's configuration.
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
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Questions
Langfuse and Brand.dev, 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 Brand.dev when something happens in Langfuse?
Any of Brand.dev's 19 actions, including Update a collection, Update a monitor, Add a monitor and Extract Products From a Brand's Website. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Brand.dev to Langfuse?
Brand.dev has no triggers in the catalog today, so automations start in Langfuse. If you need the other direction, ask: your agent reads Brand.dev's API documentation and adds it.
Do I have to build a connector for Langfuse or Brand.dev?
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 Brand.dev 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.