--- title: "Connect BigML to Geckoboard - APIANT.ai" description: "When \"New project\" fires in BigML, your agent runs \"Append Dataset Data\" in Geckoboard." canonical: "https://apiant.ai/connect/bigml-to-geckoboard" --- # Connect BigML to Geckoboard When **New project** fires in [BigML](https://apiant.ai/connections/bigml), your agent runs **Append Dataset Data** in [Geckoboard](https://apiant.ai/connections/geckoboard). Describe the whole flow and it is built, tested on every scenario and kept running. BigML **1** trigger BigML **4** actions Geckoboard **5** 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 Geckoboard 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) BigML holds the projects, datasets and models your team builds; Geckoboard holds the screen everyone looks at. Joining them means a new project in BigML can pull its sources, datasets or models and push them straight into a Geckoboard dataset, so the board on the wall reflects what is actually in the modelling account without anyone copying rows by hand. Example flows ## What BigML can start in Geckoboard - When **New project** in BigML then **Append Dataset Data** in Geckoboard - When **New project** in BigML then **Create or Update Dataset** in Geckoboard 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 Geckoboard ## Triggers and actions 1 trigger · 9 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. - Action **Append Dataset Data** Appends records to a dataset, keeping the most recent rows. - Action **Create or Update Dataset** Creates a new dataset or updates the schema of an existing one. - Action **Delete Dataset** Deletes a dataset and all of its data. - Action **Replace Dataset Data** Replaces all data in a dataset with the provided records. - Action **Verify API Key** Verifies the Geckoboard API key by hitting the root endpoint. Read-only. ## Each app on its own - [ **BigML** BigML is a machine learning platform for building, evaluating, and running predictive models.](https://apiant.ai/connections/bigml) - [ **Geckoboard** Geckoboard is a dashboard tool for displaying KPIs and live business metrics on TV dashboards.](https://apiant.ai/connections/geckoboard) 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 Geckoboard - [ **HubSpot to Geckoboard** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-geckoboard) - [ **Salesforce to Geckoboard** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-geckoboard) - [ **Slack to Geckoboard** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-geckoboard) - [ **Mailchimp to Geckoboard** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/mailchimp-to-geckoboard) - [ **Shopify to Geckoboard** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/shopify-to-geckoboard) - [ **Pipedrive to Geckoboard** Pipedrive is a sales CRM and pipeline management tool.](https://apiant.ai/connect/pipedrive-to-geckoboard) Questions ## BigML and Geckoboard, answered ### ### Can something happening in Geckoboard start a workflow? No. Geckoboard offers actions here, such as creating a dataset, appending rows, replacing data or deleting a dataset, but no triggers. Every scenario on this page starts from the New project trigger in BigML and then writes into Geckoboard. ### ### Should I append rows or replace the dataset data? Append adds records to the Geckoboard dataset and keeps the most recent rows, which suits a running log of projects. Replace swaps out everything with the records from the current run, which suits a board that should show the current list of models or datasets. ### ### 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 Geckoboard when something happens in BigML? Any of Geckoboard's 5 actions, including Append Dataset Data, Create or Update Dataset, Delete Dataset and Verify API Key. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Geckoboard to BigML? Geckoboard has no triggers in the catalog today, so automations start in BigML. If you need the other direction, ask: your agent reads Geckoboard's API documentation and adds it. ### ### Do I have to build a connector for BigML or Geckoboard? 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 Geckoboard 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.