--- title: "Connect BigML and PyPI - APIANT.ai" description: "When \"New project\" fires in BigML, your agent runs \"Get package\" in PyPI, or \"New package\" in PyPI to \"Get Resource Status\" in BigML." canonical: "https://apiant.ai/connect/bigml-to-pypi" --- # Connect BigML and PyPI When **New project** fires in [BigML](https://apiant.ai/connections/bigml), your agent runs **Get package** in [PyPI](https://apiant.ai/connections/pypi), or **New package** in PyPI to **Get Resource Status** in BigML. Describe the whole flow and it is built, tested on every scenario and kept running. BigML **1** trigger BigML **4** actions PyPI **2** triggers PyPI **2** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want BigML and PyPI to do together? 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)](https://apiant.ai/docs/mcp/claude-code) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### Zed Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) Example flows ## What BigML and PyPI can do together ### From BigML to PyPI - When **New project** in BigML then **Get package** in PyPI - When **New project** in BigML then **Get release** in PyPI ### From PyPI to BigML - When **New package** in PyPI then **Get Resource Status** in BigML - When **New release** in PyPI then **List Datasets** in 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 PyPI ## Triggers and actions 3 triggers · 6 actions - Trigger **New project** Triggered when a new project is created in BigML. Polls the BigML projects list endpoint and emits each project, deduplicated by its resource id. - Action **Get Resource Status** Retrieve a BigML resource by id (source/dataset/model/prediction) to poll its status and read results. - Action **List Datasets** List BigML datasets, optionally filtered/paginated. - Action **List Models** List BigML models, optionally filtered/paginated. - Action **List Sources** List BigML sources, optionally filtered/paginated. - Trigger **New package** Fires when a new package is published to PyPI, via the site-wide newest-packages RSS feed (/rss/packages.xml). - Trigger **New release** Fires when a watched PyPI package publishes a new release, via that package's release RSS feed (/rss/project/{name}/releases.xml). - Action **Get package** Look up a PyPI package's latest metadata, release list, and project URLs. - Action **Get release** Look up metadata for one specific version of a PyPI package, including its files and known vulnerabilities. ## Each app on its own - [ **BigML** BigML is a machine learning platform for building, evaluating, and running predictive models.](https://apiant.ai/connections/bigml) - [ **PyPI** Package metadata, release history and download files for any Python package published on the Python Package...](https://apiant.ai/connections/pypi) Reviews ## What our customers say ## More from BigML - [ **BigML to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/bigml-to-hubspot) - [ **BigML to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/bigml-to-salesforce) - [ **BigML to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/bigml-to-slack) - [ **BigML to Mailchimp** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/bigml-to-mailchimp) - [ **BigML to Shopify** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/bigml-to-shopify) - [ **BigML to QuickBooks Online** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/bigml-to-quickbooks-online) ## More into PyPI - [ **HubSpot to PyPI** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-pypi) - [ **Google Sheets to PyPI** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-pypi) - [ **Gmail to PyPI** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-pypi) - [ **Google Calendar to PyPI** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-pypi) - [ **Google Drive to PyPI** Google Drive is a cloud storage solution for uploading, sharing, and collaborating on files across devices...](https://apiant.ai/connect/google-drive-to-pypi) - [ **Mailchimp to PyPI** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/mailchimp-to-pypi) Questions ## BigML and PyPI, answered ### ### 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 PyPI when something happens in BigML? Any of PyPI's 2 actions, including Get package and Get release. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from PyPI to BigML? Yes. When something happens in PyPI, your agent can act in BigML too. This page covers both directions: PyPI's triggers and BigML's actions are listed here as well. ### ### Do I have to build a connector for BigML or PyPI? 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 PyPI 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.