Integration
Connect Jira Software Cloud to GPT-trainer
When something happens in Jira Software Cloud, your agent does the next thing in GPT-trainer. Describe it 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 Jira Software Cloud and GPT-trainer 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 Jira Software Cloud can start in GPT-trainer
When Issue Status Changed in Jira Software Cloud
then Add agent in GPT-trainer
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 Jira Software Cloud and GPT-trainer
Triggers and actions 4 triggers · 31 actions
- Issue Status Changed
Triggered when an issue's status changes
- New Issue
Triggered when a new issue is created in Jira.
- New Issue (Via JQL)
Triggered when a new issue matching your JQL query is created.
- Updated Issue
Triggered when an issue is created or updated.
- Add Attachment to Issue
Uploads a file (fetched from a URL) and attaches it to a Jira issue.
- Add Comment to Issue
Adds a new comment to an issue.
- Add Watcher to Issue
Adds a user as a watcher of a Jira issue.
- Add Work Log to Issue
Logs time spent on a Jira issue as a new work log entry. Time tracking must be enabled on the Jira site.
- Create Issue
Creates a new issue.
- Find Issue
Returns the issues in a project whose summary matches the specified text, newest first.
- Find Issue by Key
Finds a Jira issue by its key (for example PROJ-123) or ID and returns its details, including custom field values.
- Find Issues by Filter
Returns the issues matched by a saved Jira filter.
- Find Issues (Via JQL)
Returns the Jira issues that match a JQL query.
- Find Project
Returns up to 50 Jira projects whose key or name contains the search text.
- Find User
Returns active Jira users whose display name or email address matches the search text, or whose account ID or user property matches.
- Get Attachment Content
Downloads the file content of a Jira issue attachment.
- Link Issues
Links two Jira issues with a link type such as Blocks, Duplicate or Relates, optionally adding a comment to the outward issue.
- List Issue Forms
Returns the forms attached to a Jira issue.
- Update Issue
Updates an existing issue.
- Add agent
Create an agent for a chatbot specified by chatbot uuid.
- Add chatbot
Create a chatbot for the authenticated user.
- Add file data source
Upload a file as a data source for a chatbot specified by chatbot uuid.
- Add session
Create a chat session for a chatbot specified by chatbot uuid.
- Add URL data source
Create a URL source for a chatbot specified by chatbot uuid.
- Delete chatbot
Delete a single chatbot by uuid.
- Delete data source
Delete a single data source by uuid.
- Get chatbot
Fetch a single chatbot by uuid.
- Get session
Fetch a single chatbot session by session uuid.
- List agents
Fetch the list of agents for a chatbot specified by chatbot uuid.
- List chatbots
Fetch the list of chatbots for the current user.
- List data sources
Fetch the list of data sources for a chatbot specified by chatbot uuid.
- List messages
Fetch the list of messages for a session specified by session uuid.
- List sessions
Fetch the list of sessions for a chatbot specified by chatbot uuid.
- Send Message
Send message to chatbot and receive an answer
- Update chatbot
Update chatbot meta based on chatbot uuid.
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
Jira Software Cloud and GPT-trainer, answered
What can start an automation from Jira Software Cloud?
Any of Jira Software Cloud's 4 triggers in the catalog, including Issue Status Changed, New Issue, New Issue (Via JQL) and Updated Issue. Describe the moment in plain language and your agent picks the right one.
What can your agent do in GPT-trainer when something happens in Jira Software Cloud?
Any of GPT-trainer's 16 actions, including Send Message, Update chatbot, Add agent and Add chatbot. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from GPT-trainer to Jira Software Cloud?
GPT-trainer has no triggers in the catalog today, so automations start in Jira Software Cloud. If you need the other direction, ask: your agent reads GPT-trainer's API documentation and adds it.
Do I have to build a connector for Jira Software Cloud or GPT-trainer?
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.