# Connect Docparser to Pipeless Recommendations When **Parsed Document Data Available** fires in [Docparser](https://apiant.ai/connections/docparser), 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. Docparser **2** triggers Docparser **2** 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 Docparser and Pipeless Recommendations to do together? Give your AI client this address. `https://mcp.apiant.ai` 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 Docparser can start in Pipeless Recommendations - When **Parsed Document Data Available** in Docparser then **Create Event** in Pipeless Recommendations - When **Parsed Table Row Available** in Docparser 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 Docparser and Pipeless Recommendations ## Triggers and actions 2 triggers · 10 actions - Trigger **Parsed Document Data Available** Triggers whenever a new Document is processed and parsed data is available. - Trigger **Parsed Table Row Available** Triggers whenever a new Document is processed and parsed table rows are available. - Action **Fetch Document From URL** Fetches a new document from a publicly accessible URL and imports it into Docparser to begin parsing. (To receive the parsing results, you'll need a separate Zap listening for the "New Parsed Data Available" Trigger). - Action **Upload Document** Uploads a new document to Docparser which will immediately begin parsing after reception. (To receive the parsing results, you'll need a separate Zap listening for the "New Parsed Data Available" Trigger). - 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 - [ **Docparser** Docparser converts your PDF documents into structured and easy-to-handle data.](https://apiant.ai/connections/docparser) - [ **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 Docparser - [ **Docparser to Prismix** Real-time uptime for 77 AI APIs (OpenAI, Anthropic, Cursor, Gemini) — free JSON endpoint, no auth required](https://apiant.ai/connect/docparser-to-prismix) - [ **Docparser to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/docparser-to-hubspot) - [ **Docparser to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/docparser-to-salesforce) - [ **Docparser to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/docparser-to-slack) - [ **Docparser to Google Sheets** Google Sheets](https://apiant.ai/connect/docparser-to-google-sheets) - [ **Docparser to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/docparser-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 ## Docparser and Pipeless Recommendations, answered ### ### What can start an automation from Docparser? Any of Docparser's 2 triggers in the catalog, including Parsed Document Data Available and Parsed Table Row Available. 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 Docparser? 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 Docparser? Pipeless Recommendations has no triggers in the catalog today, so automations start in Docparser. 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 Docparser 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. ### ### 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.