Integration
Connect Arize AX to Elastic Cloud
When New Project fires in Arize AX, your agent runs Add Elasticsearch project in Elastic Cloud. 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 Arize AX and Elastic Cloud to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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 Arize AX can start in Elastic Cloud
When New Project in Arize AX
then Add Elasticsearch project in Elastic Cloud
When New Project in Arize AX
then Get Elasticsearch project in Elastic Cloud
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 Arize AX and Elastic Cloud
Triggers and actions 1 trigger · 27 actions
Trigger
New ProjectTriggers when a new project is created in Arize AX.
Action
Add dataset examplesAppend examples to an existing dataset (CLI: ax datasets append). Endpoint under /v2/datasets/{dataset_id}/examples; confirm in OpenAPI spec.
Action
Add promptCreate a prompt.
Action
Add prompt versionCreate a new version of a prompt (ax prompts create-version).
Action
Create DatasetCreates a new dataset in Arize AX.
Action
Create ExperimentCreates a new experiment in Arize AX.
Action
Create ProjectCreates a new project in Arize AX.
Action
Delete datasetDelete a dataset.
Action
Delete experimentDelete an experiment.
Action
Delete projectDelete a project.
Action
Find DatasetSearches for datasets in Arize AX by ID or name.
Action
Find ExperimentSearches for experiments in Arize AX by ID, name, or project.
Action
Find Experiment RunsLists runs for a given experiment in Arize AX. Runs are sorted by insertion order.
Action
Find ProjectSearches for projects in Arize AX by ID or name.
Action
Get promptRetrieve a prompt by id.
Action
List annotation configsList annotation configs.
Action
List Dataset ExamplesLists the examples in a dataset, each with its id and its own named values.
Action
Update datasetUpdate a dataset's name/description.
Action
Update projectUpdate a project.
Action
Add API keyCreates a new Elastic Cloud API key and returns it, including the secret key value, which is shown only once.
Action
Add Elasticsearch projectCreates an Elastic Cloud Serverless Elasticsearch project and returns its id, endpoints and access credentials.
Action
Delete API keyDeletes (invalidates) an Elastic Cloud API key.
Action
Delete Elasticsearch projectSchedules deletion of an Elastic Cloud Serverless Elasticsearch project.
Action
Get deploymentReturns a deployment's details, including its name, alias, health and Elasticsearch, Kibana and other resources.
Action
Get Elasticsearch projectReturns the details of one Elasticsearch serverless project, including its name, region, endpoints, cloud ID and tags.
Action
List API keysReturns the metadata for the Elastic Cloud API keys your account is allowed to see.
Action
List Elasticsearch projectsReturns the Elasticsearch Serverless projects in your Elastic Cloud organization, optionally filtered by traffic filter or linked project.
Action
List regionsReturns the cloud provider regions where Elastic Cloud Serverless projects can be created.
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
Arize AX and Elastic Cloud, answered
What can start an automation from Arize AX?
Any of Arize AX's 1 trigger in the catalog, including New Project. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Elastic Cloud when something happens in Arize AX?
Any of Elastic Cloud's 9 actions, including Add API key, Add Elasticsearch project, Get deployment and Get Elasticsearch project. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Elastic Cloud to Arize AX?
Elastic Cloud has no triggers in the catalog today, so automations start in Arize AX. If you need the other direction, ask: your agent reads Elastic Cloud's API documentation and adds it.
Do I have to build a connector for Arize AX or Elastic Cloud?
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.
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.