--- title: "Connect BigML and Docparser - APIANT.ai" description: "When \"New project\" fires in BigML, your agent runs \"Upload Document\" in Docparser." canonical: "https://apiant.ai/connect/bigml-to-docparser" --- # Connect BigML and Docparser When **New project** fires in [BigML](https://apiant.ai/connections/bigml), your agent runs **Upload Document** in [Docparser](https://apiant.ai/connections/docparser), or **Parsed Document Data Available** in Docparser 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 Docparser **2** triggers Docparser **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 Docparser 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 Docparser can do together ### From BigML to Docparser - When **New project** in BigML then **Upload Document** in Docparser - When **New project** in BigML then **Fetch Document From URL** in Docparser ### From Docparser to BigML - When **Parsed Document Data Available** in Docparser then **Get Resource Status** in BigML - When **Parsed Table Row Available** in Docparser 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 Docparser ## 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 **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). ## Each app on its own - [ **BigML** BigML is a machine learning platform for building, evaluating, and running predictive models.](https://apiant.ai/connections/bigml) - [ **Docparser** Docparser converts your PDF documents into structured and easy-to-handle data.](https://apiant.ai/connections/docparser) 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 Docparser - [ **ActiveCampaign to Docparser** ActiveCampaign is a marketing automation, email marketing, and CRM platform.](https://apiant.ai/connect/activecampaign-to-docparser) - [ **Airtable to Docparser** Organize anything with Airtable, a modern database created for everyone.](https://apiant.ai/connect/airtable-to-docparser) - [ **Asana to Docparser** Asana is a collaborative information manager for workspace.](https://apiant.ai/connect/asana-to-docparser) - [ **ClickUp to Docparser** ClickUp is an all-in-one app to plan, track, and manage your work in a beautifully intuitive environment.](https://apiant.ai/connect/clickup-to-docparser) - [ **Discord to Docparser** Discord is an all-in-one voice and text chat for gamers.](https://apiant.ai/connect/discord-to-docparser) - [ **Brevo to Docparser** Brevo is the leading CRM suite designed to cultivate long-term customer relationships and help businesses...](https://apiant.ai/connect/brevo-to-docparser) Questions ## BigML and Docparser, 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 Docparser when something happens in BigML? Any of Docparser's 2 actions, including Upload Document and Fetch Document From URL. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Docparser to BigML? Yes. When something happens in Docparser, your agent can act in BigML too. This page covers both directions: Docparser's triggers and BigML's actions are listed here as well. ### ### Do I have to build a connector for BigML or Docparser? 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 Docparser 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.