Integration
Connect Langfuse and Postman
When New Trace fires in Langfuse, your agent runs Create Folder in Postman, or New Collection in Postman to Add Dataset Item 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 Postman 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)Langfuse records what your LLM app actually did; Postman holds the collections, environments and monitors your team uses to probe the APIs behind it. Connecting them means a failing trace can turn into a Postman request or monitor run, and new Postman collections can become Langfuse datasets, without anyone copying details between the two.
Example flows
What Langfuse and Postman can do together
From Langfuse to Postman
When New Trace in Langfuse
then Create Folder in Postman
From Postman 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 Postman
Triggers and actions 6 triggers · 40 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 Collection
Triggered when a new collection is created.
- New Environment
Triggers when you need to list environments. Optionally filter by workspace.
- New Mock Server
Triggers when you need to list mock servers. Optionally filter by workspace.
- New Monitor
Triggered when a new monitor is created in Postman.
- New Workspace
Triggered when a new workspace is created.
- Create Collection
Creates a new Postman collection.
- Create Environment
Creates a new Postman environment with optional variables.
- Create Folder
Creates a folder inside a collection.
- Create Mock Server
Creates a new mock server from a collection.
- Create Monitor
Creates a new Postman monitor for a collection.
- Create Request
Creates a new request in a Postman collection.
- Create Workspace
Creates a new Postman workspace.
- Delete Collection
Delete a collection by ID.
- Delete Environment
Delete an environment by ID.
- Delete Mock Server
Delete a mock server by ID.
- Delete Monitor
Delete a monitor by ID.
- Delete Workspace
Delete a workspace by ID.
- Find Collection by ID
Returns a single collection by ID.
- Find Environment by ID
Returns a single environment by ID.
- Find Mock Server by ID
Returns a single mock server by ID.
- Find Monitor by ID
Returns a single monitor by ID.
- Find Workspace by ID
Returns a single workspace by ID.
- List Collections
List all collections accessible to the API key, optionally filtered by workspace.
- List Environments
List all environments accessible to the API key, optionally filtered by workspace.
- List Workspaces
List all workspaces accessible to the API key.
- Run Monitor
Runs a Postman monitor and returns the run results.
- Update Collection
Replaces an existing collection with the name, requests and settings you supply.
- Update Environment
Updates an existing environment.
- Update Mock Server
Update a mock server's config.
- Update Monitor
Updates an existing monitor.
- Update Workspace
Updates an existing workspace.
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 Postman, answered
Can a Langfuse trace start work in Postman on its own?
Yes. The New Trace trigger in Langfuse can fetch the full trace and then create a request, create a folder or run a monitor in Postman. The agent tests every scenario before it goes live, including traces that do not meet your condition.
What can Postman send back into Langfuse?
New collections, monitors, environments and workspaces in Postman can create a dataset, add a dataset item or add a comment in Langfuse. Anything beyond those listed actions, such as reading monitor run history into Langfuse, is not part of this pairing.
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 Postman when something happens in Langfuse?
Any of Postman's 26 actions, including Create Folder, Run Monitor, Create Collection and Create Environment. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Postman to Langfuse?
Yes. When something happens in Postman, your agent can act in Langfuse too. This page covers both directions: Postman's triggers and Langfuse's actions are listed here as well.
Do I have to build a connector for Langfuse or Postman?
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 Postman 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.