Integration
Connect Request Tracker (RT) to Elastic Cloud
When Ticket Created fires in Request Tracker (RT), 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 Request Tracker (RT) 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 Request Tracker (RT) can start in Elastic Cloud
When Ticket Created in Request Tracker (RT)
then Add Elasticsearch project in Elastic Cloud
When Ticket Status Changed in Request Tracker (RT)
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 Request Tracker (RT) and Elastic Cloud
Triggers and actions 3 triggers · 28 actions
Trigger
Ticket CorrespondenceTriggers when a ticket is replied to (that is, corresponded with).
Trigger
Ticket CreatedTriggers when a new Request Tracker ticket is created.
Trigger
Ticket Status ChangedTriggers when a Request Tracker ticket changes status. Can watch for any status change or only for changes to a specific status.
Action
Add assetCreate an asset.
Action
Add userCreate a user.
Action
Comment on a TicketAdd an internal comment to a ticket and send to any internal watchers.
Action
Create TicketCreate a new ticket in Request Tracker.
Action
Find AttachmentLocate an attachment by ID.
Action
Find TicketLocate a ticket by ID.
Action
Find TicketsIssue a query to find matching tickets.
Action
Find TransactionFind a transaction by ID
Action
Get assetRetrieves one asset by ID: name, description, status, catalog, owner, held by, contact, custom fields.
Action
Get queueGet a queue by id or name.
Action
Get userGet a user by id or name.
Action
List queuesList all queues visible to user.
Action
List ticket historyList transactions of a ticket.
Action
Reply to a TicketReply to the requestor and any internal or external watchers of a ticket.
Action
Update ticketGeneral ticket update (Owner, Priority, Queue, custom fields).
Action
Update Ticket Due DateUpdate the due date of a ticket.
Action
Update Ticket StatusUpdate the status of a ticket.
Action
Update Ticket SubjectUpdate the subject of a ticket.
Action
Update userUpdate a user.
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
Request Tracker (RT) and Elastic Cloud, answered
What can start an automation from Request Tracker (RT)?
Any of Request Tracker (RT)'s 3 triggers in the catalog, including Ticket Created, Ticket Status Changed and Ticket Correspondence. 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 Request Tracker (RT)?
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 Request Tracker (RT)?
Elastic Cloud has no triggers in the catalog today, so automations start in Request Tracker (RT). 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 Request Tracker (RT) 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.