Integration
Connect Langfuse and Tolstoy
When New Trace fires in Langfuse, your agent runs Get Inbox Email in Tolstoy, or New Response in Tolstoy 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 Tolstoy 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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
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 Tolstoy can do together
From Langfuse to Tolstoy
When New Trace in Langfuse
then Get Inbox Email in Tolstoy
From Tolstoy 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 Tolstoy
Triggers and actions 2 triggers · 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).
- New Response
Triggers when a shopper submits answers, preferences or an email through a Tolstoy AI widget.
- Add Media to Playlist
Adds one media-library item to a playlist.
- Approve Media Draft
Approves a completed Studio draft so it becomes a media-library item.
- Archive Media
Archives a media-library item.
- Delete Playlist
Deletes a media-library playlist; its media stay in the library.
- Get Brand Profile
Returns the brand profile of a store: name, website, description, audience, colors and fonts.
- Get Credit Balance
Returns the credits the account has left and has spent this period, per product.
- Get Inbox Email
Returns one email of the workspace inbox in full: sender, subject, text and HTML.
- Get Model
Returns one fashion model with its images and measurements.
- Get Product
Returns one Shopify product from the store's Tolstoy catalog: title, description, variants and images.
- Get Products Count
Returns the total number of products in the store, drafts and unpublished products included.
- Get Shopper Assistant Profile
Returns the profile of the store's AI shopping assistant: name, role, goal and tone.
- Get Usage
Returns the plan names, monthly credit allowance and credits spent this period.
- List Collection Products
Returns the products in one Shopify collection.
- List Collections
Returns the store's Shopify collections with their product counts.
- List Folders
Returns the Studio projects and the folders inside them.
- List Inbox Emails
Returns the emails in the workspace's brand-newsletter inbox, newest first.
- List Models
Returns the workspace's fashion models and Tolstoy's stock models.
- List Playlists
Returns the media library's playlists.
- List Stores
Returns the Shopify stores connected to the Tolstoy workspace, with the store URL each other operation needs.
- List Themes
Returns the store's Shopify themes; role MAIN is the live theme.
- List Tracked Brands
Returns the competitor brands the workspace tracks in Ad Spy.
- List Video Templates
Returns the newest saved Remotion video templates in the workspace.
- Remove Media from Playlist
Removes one media-library item from a playlist.
- Rename Folder
Renames a Studio project or folder.
- Rename Playlist
Renames a media-library playlist.
- Search Products
Searches the store's products by keyword, product ID, variant ID or SKU and returns one page of matching products.
- Unarchive Media
Restores an archived media-library item.
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
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Questions
Langfuse and Tolstoy, 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 Tolstoy when something happens in Langfuse?
Any of Tolstoy's 27 actions, including Add Media to Playlist, Approve Media Draft, Get Brand Profile and Get Credit Balance. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Tolstoy to Langfuse?
Yes. When something happens in Tolstoy, your agent can act in Langfuse too. This page covers both directions: Tolstoy's triggers and Langfuse's actions are listed here as well.
Do I have to build a connector for Langfuse or Tolstoy?
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 Tolstoy 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.