Integration

Connect BigML and JIRA

When New project fires in BigML, your agent runs Create project in JIRA, or New Issue in JIRA to Get Resource Status in BigML. Describe the whole flow and it is built, tested on every scenario and kept running.

BigML1 triggerBigML4 actionsJIRA2 triggersJIRA138 actions

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 BigML and JIRA to do together?

Ask the assistant

You'll sign in before anything runs. What you typed comes with you.

Examples

Pick one to fill the box, then change anything: the steps, the wording, even the apps. Go as long as you like.

Connect your AI client

Give your AI client this address.

https://mcp.apiant.ai

One 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.ai

Start 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)

JIRA tracks the work your team plans and reviews, while BigML holds the sources, datasets and models behind it. Connecting them lets a new BigML project open matching work in JIRA, and lets an issue pull the state of the model or dataset it refers to, so the two views line up without anyone copying identifiers by hand.

Example flows

What BigML and JIRA can do together

From BigML to JIRA

From JIRA to BigML

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 BigML and JIRA

Triggers and actions 3 triggers · 142 actions

Each app on its own

Reviews

What our customers say

More from BigML

More into JIRA

Questions

BigML and JIRA, answered

What can start a workflow on the BigML side?

BigML reports when a new project is created, and that is the event available as a trigger. From there the workflow can list the datasets, models or sources it needs, then create a project or an issue in JIRA and comment on it.

Can a JIRA issue read the state of a model in BigML?

Yes. A new or updated issue in JIRA can trigger a read of a BigML resource by its id, so the model, dataset, source or prediction status can be checked. The agent tests every scenario, including issues that carry no resource id.

What can start an automation from BigML?

Any of BigML'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 JIRA when something happens in BigML?

Any of JIRA's 138 actions, including Add Comment to Issue, Create project, Create component and Create custom field. Your agent maps the data both ways and tests every scenario before it ships.

Can it also run from JIRA to BigML?

Yes. When something happens in JIRA, your agent can act in BigML too. This page covers both directions: JIRA's triggers and BigML's actions are listed here as well.

Do I have to build a connector for BigML or JIRA?

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 BigML and JIRA 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.