Integration
Connect Amazon CloudWatch and Langfuse
When New Alarm fires in Amazon CloudWatch, your agent runs Add Comment in Langfuse, or New Trace in Langfuse to Disable Alarm Actions in Amazon CloudWatch. 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 Amazon CloudWatch and Langfuse 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 Amazon CloudWatch and Langfuse can do together
From Amazon CloudWatch to Langfuse
then Add Comment in Langfuse
From Langfuse to Amazon CloudWatch
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 Amazon CloudWatch and Langfuse
Triggers and actions 3 triggers · 17 actions
- Alarm State Change
Triggers when a CloudWatch metric alarm changes state, for example from OK to ALARM.
- New Alarm
Triggers when a new metric alarm is created in Amazon CloudWatch.
- Disable Alarm Actions
Turns off the notifications and other actions of a CloudWatch alarm, without deleting the alarm.
- Enable Alarm Actions
Turns the notifications and other actions of a CloudWatch alarm back on.
- Set Alarm State
Temporarily sets a CloudWatch alarm to OK, ALARM or INSUFFICIENT_DATA, for example to test its notifications. The alarm returns to its real state at its next evaluation.
- 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).
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
More from Amazon CloudWatch
Amazon CloudWatch to HubSpotHubSpot is your all-in-one stop for all of your marketing software needs.
Amazon CloudWatch to SalesforceSalesforce is a leading enterprise customer relationship management (CRM) platform.
Amazon CloudWatch to SlackSlack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...
Amazon CloudWatch to Google SheetsGoogle Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.
Amazon CloudWatch to GmailGmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...
Amazon CloudWatch to Google CalendarGoogle Calendar is a time management tool providing scheduling features, event reminders, and integration...
More into Langfuse
Google Drive to LangfuseGoogle Drive is a cloud storage solution for uploading, sharing, and collaborating on files across devices...
Questions
Amazon CloudWatch and Langfuse, answered
What can start an automation from Amazon CloudWatch?
Any of Amazon CloudWatch's 2 triggers in the catalog, including New Alarm and Alarm State Change. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Langfuse when something happens in Amazon CloudWatch?
Any of Langfuse's 14 actions, including Add Comment, Add Dataset, Add Dataset Item and Add Prompt. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Langfuse to Amazon CloudWatch?
Yes. When something happens in Langfuse, your agent can act in Amazon CloudWatch too. This page covers both directions: Langfuse's triggers and Amazon CloudWatch's actions are listed here as well.
Do I have to build a connector for Amazon CloudWatch or Langfuse?
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 Amazon CloudWatch and Langfuse 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.