--- title: "Connect Apollo to Pipeless Recommendations - APIANT.ai" description: "When \"Account Updated\" fires in Apollo, your agent runs \"Create Event\" in Pipeless Recommendations." canonical: "https://apiant.ai/connect/apollo-to-pipeless-recommendations" --- # Connect Apollo to Pipeless Recommendations When **Account Updated** fires in [Apollo](https://apiant.ai/connections/apollo), your agent runs **Create Event** in [Pipeless Recommendations](https://apiant.ai/connections/pipeless-recommendations). Describe the whole flow and it is built, tested on every scenario and kept running. Apollo **4** triggers Apollo **10** actions Pipeless Recommendations **8** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Apollo and Pipeless Recommendations 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 Apollo can start in Pipeless Recommendations - When **Account Updated** in Apollo then **Create Event** in Pipeless Recommendations - When **Contact Updated** in Apollo then **Create Events (With Line Item Support)** in Pipeless Recommendations 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 Apollo and Pipeless Recommendations ## Triggers and actions 4 triggers · 18 actions - Trigger **Account Updated** Polls Apollo accounts/search for new or updated accounts (dedup on MD5 of the record; accounts/search returns no updated_at). Apollo has no record-change webhook API, so this is a polling trigger. - Trigger **Contact Updated** Polls Apollo contacts/search for new or updated contacts (dedup on MD5 of the record). Apollo has no record-change webhook API, so this is a polling trigger. - Trigger **New Account** Polls Apollo accounts/search for newly created accounts (dedup on account id). Apollo has no record-change webhook API, so this is a polling trigger. - Trigger **New Contact** Polls Apollo contacts/search for newly created contacts (dedup on contact id). Apollo has no record-change webhook API, so this is a polling trigger. - Action **Create Account** An Account is a company that your team has added to Apollo. - Action **Create Contact** A Contact is a person your team has added to Apollo. - Action **Create Deal** Deals are records that you can use to track possible opportunities with your prospective customers. - Action **Create Task** Creates a task for the specified Apollo contact (via /tasks/bulk_create with a single contact). - Action **Find Contact** Find a contact in your Apollo instance by searching for their email. If you have multiple contacts with the same email address, this search returns the contact that was created first. - Action **Find Deal** Returns up to 100 deals (opportunities) that match the specified name. Leave name blank to return all deals. - Action **Find Task** Returns up to 100 tasks for the specified contact. Leave contact_id blank to return all tasks. - Action **Update Account** Update an existing Account. - Action **Update Contact** Update an already existing Contact. - Action **Update Deal** Update an already existing Deal. - Action **Create Event** Creates a single event linking a start object to an end object through a relationship (for example, a user who liked a post) in your Pipeless app. - Action **Create Events (With Line Item Support)** Creates up to 10 events in one call, such as several line items a user purchased. - Action **Delete event** Deletes the event(s) matching a start object, relationship type and end object. - Action **Delete object** Deletes an object and all the relationships and events connected to it. - Action **Get Activity on Object** Returns the activity that has taken place on an object, such as who followed or liked it. - Action **Get object** Returns basic info (type, created and modified dates) for a single Pipeless object. - Action **List recent events** Returns the most recent events (user–relationship–object interactions) that have been sent to your Pipeless app. - Action **Update object** Updates an existing Pipeless object's id or its created/modified timestamps. ## Each app on its own - [ **Apollo** Apollo is a unified engagement platform that is the foundation for your entire end-to-end sales strategy.](https://apiant.ai/connections/apollo) - [ **Pipeless Recommendations** Power real-time personalized recommendations and activity feeds using a simple API.](https://apiant.ai/connections/pipeless-recommendations) Reviews ## What our customers say ## More from Apollo - [ **Apollo to Streak** Streak is a flexible CRM and process management system that lives inside your Gmail inbox.](https://apiant.ai/connect/apollo-to-streak) - [ **Apollo to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/apollo-to-hubspot) - [ **Apollo to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/apollo-to-salesforce) - [ **Apollo to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/apollo-to-slack) - [ **Apollo to Google Sheets** Google Sheets](https://apiant.ai/connect/apollo-to-google-sheets) - [ **Apollo to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/apollo-to-gmail) ## More into Pipeless Recommendations - [ **HubSpot to Pipeless Recommendations** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-pipeless-recommendations) - [ **Salesforce to Pipeless Recommendations** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-pipeless-recommendations) - [ **Slack to Pipeless Recommendations** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-pipeless-recommendations) - [ **Google Sheets to Pipeless Recommendations** Google Sheets](https://apiant.ai/connect/google-sheets-to-pipeless-recommendations) - [ **Gmail to Pipeless Recommendations** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-pipeless-recommendations) - [ **Google Calendar to Pipeless Recommendations** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-pipeless-recommendations) Questions ## Apollo and Pipeless Recommendations, answered ### ### What can start an automation from Apollo? Any of Apollo's 4 triggers in the catalog, including Account Updated, Contact Updated, New Account and New Contact. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Pipeless Recommendations when something happens in Apollo? Any of Pipeless Recommendations's 8 actions, including Create Event, Create Events (With Line Item Support), Update object and Get Activity on Object. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Pipeless Recommendations to Apollo? Pipeless Recommendations has no triggers in the catalog today, so automations start in Apollo. If you need the other direction, ask: your agent reads Pipeless Recommendations's API documentation and adds it. ### ### Do I have to build a connector for Apollo or Pipeless Recommendations? 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 Apollo and Pipeless Recommendations 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.