Integration

Connect BigML and Pipedrive

When New project fires in BigML, your agent runs Create Deal in Pipedrive, or New Activity in Pipedrive to Get Resource Status in BigML. 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 BigML and Pipedrive 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)

Connecting BigML and Pipedrive lets your sales and data work sit in one place. A new project in BigML can open a deal or a review activity in Pipedrive, and new records in Pipedrive can look up the matching BigML dataset, model or resource status before anyone has to go digging. The agent builds the flow, tests every scenario and keeps it running.

Example flows

What BigML and Pipedrive can do together

From BigML to Pipedrive

From Pipedrive 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 Pipedrive

Triggers and actions 7 triggers · 28 actions

Each app on its own

Reviews

What our customers say

More from BigML

More into Pipedrive

Questions

BigML and Pipedrive, answered

Can a Pipedrive deal show whether a BigML model is ready?

Yes. On a new deal in Pipedrive the flow can list your BigML models and read a resource status, then write what it found into a note on that deal. If the status is not finished, the note says so instead of creating follow-up work.

What can start a flow on the BigML side?

BigML reports new projects, so a project created there can create a deal, activity, note or other record in Pipedrive. Everything else from BigML is a lookup: listing sources, datasets or models, or checking the status of one resource by 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 Pipedrive when something happens in BigML?

Any of Pipedrive's 24 actions, including Create Activity, Create Deal, Create Lead and Create Note. Your agent maps the data both ways and tests every scenario before it ships.

Can it also run from Pipedrive to BigML?

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

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

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 Pipedrive 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.