--- title: "Connect Feedly and PyPI - APIANT.ai" description: "When \"New Article in Feed\" fires in Feedly, your agent runs \"Get package\" in PyPI, or \"New package\" in PyPI to \"Add Article to Board\" in Feedly." canonical: "https://apiant.ai/connect/feedly-to-pypi" --- # Connect Feedly and PyPI When **New Article in Feed** fires in [Feedly](https://apiant.ai/connections/feedly), your agent runs **Get package** in [PyPI](https://apiant.ai/connections/pypi), or **New package** in PyPI to **Add Article to Board** in Feedly. Describe the whole flow and it is built, tested on every scenario and kept running. Feedly **4** triggers Feedly **1** action 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 Feedly 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 Feedly and PyPI can do together ### From Feedly to PyPI - When **New Article in Feed** in Feedly then **Get package** in PyPI - When **New Article in Folder** in Feedly then **Get release** in PyPI ### From PyPI to Feedly - When **New package** in PyPI then **Add Article to Board** in Feedly 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 Feedly and PyPI ## Triggers and actions 6 triggers · 3 actions - Trigger **New Article in Feed** Triggers when a new article is published in a feed you choose. - Trigger **New Article in Folder** Triggers when a new article is published in a Feedly folder. - Trigger **New Article Saved for Later** Triggers when you save an article to Read Later in Feedly. - Trigger **New Popular Article in Folder** Triggers when an article in a Feedly folder becomes one of its most popular. - Action **Add Article to Board** Adds a Feedly article to one of your Team Boards. - 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 - [ **Feedly** The best way to follow your favorite blogs, news sites, YouTube shows, podcasts, tumblr blogs, magazines...](https://apiant.ai/connections/feedly) - [ **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 Feedly - [ **Feedly to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/feedly-to-hubspot) - [ **Feedly to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/feedly-to-salesforce) - [ **Feedly to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/feedly-to-slack) - [ **Feedly to Google Sheets** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/feedly-to-google-sheets) - [ **Feedly to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/feedly-to-gmail) - [ **Feedly to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/feedly-to-google-calendar) ## 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 ## Feedly and PyPI, answered ### ### What can start an automation from Feedly? Any of Feedly's 4 triggers in the catalog, including New Article in Feed, New Article in Folder, New Article Saved for Later and New Popular Article in Folder. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in PyPI when something happens in Feedly? 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 Feedly? Yes. When something happens in PyPI, your agent can act in Feedly too. This page covers both directions: PyPI's triggers and Feedly's actions are listed here as well. ### ### Do I have to build a connector for Feedly 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 Feedly 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.