Integration
Connect Google Tasks and BigML
When New Task Created fires in Google Tasks, your agent runs List Models in BigML, or New project in BigML to Create Task List in Google Tasks. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Google Tasks and BigML to do together?
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Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne 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.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)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)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)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)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)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)Google Tasks holds the checklist your team actually works from, while BigML holds the projects, datasets and models behind that work. Connecting them means a new BigML project can open its own list in Google Tasks with a task per dataset, and a task you touch in Google Tasks can pull the current status of the BigML resource it refers to.
Example flows
What Google Tasks and BigML can do together
From Google Tasks to BigML
When New Task Created in Google Tasks
then List Models in BigML
When New Task List Created in Google Tasks
then Get Resource Status in BigML
From BigML to Google Tasks
When New project in BigML
then Create Task List in Google Tasks
When New project in BigML
then Insert Task in Google Tasks
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 Google Tasks and BigML
Triggers and actions 6 triggers ยท 20 actions
Trigger
New Task CreatedTriggers when a new task is created in a Google Tasks list. Uses timestamp filtering (updatedMin) to efficiently detect new tasks.
Trigger
New Task List CreatedTriggers when a new Google Tasks task list is created. This trigger monitors Google Tasks and fires when new task lists are detected.
Trigger
Task Details ChangedTriggers when a specific task's details change. This trigger monitors a single Google Task and fires when any of its details (title, notes, status, due date, completion, position) are modified.
Trigger
Task List ChangedTriggers when a task list changes (title or content updates). This trigger monitors a specific Google Tasks list and fires when changes are detected.
Trigger
Task UpdatedTriggers when an existing task is updated in a Google Tasks list. This trigger monitors a specific task list and fires when tasks are modified.
Action
Batch ExecuteExecutes multiple Google Tasks API operations in a single HTTP batch request and returns structured per-item results. Use this to reduce LLM tool invocations when performing bulk operations like updating many tasks, moving tasks, or deleting multiple items. Note: Each sub-request still counts toward API quota; batching primarily reduces HTTP overhead and tool call count.
Action
Clear TasksPermanently clears all completed tasks from a specified google tasks list; this action is destructive and idempotent.
Action
Create Task ListCreates a new task list with the specified title.
Action
Delete TaskDeletes a specified task from a given task list in google tasks.
Action
Delete Task ListPermanently deletes an existing google task list, identified by `tasklist id`, along with all its tasks; this operation is irreversible.
Action
Get TaskUse to retrieve a specific google task if its `task id` and parent `tasklist id` are known.
Action
Get Task ListRetrieves a specific task list from the user's google tasks if the `tasklist id` exists for the authenticated user.
Action
Insert TaskCreates a new task in a given `tasklist id`, optionally as a subtask of an existing `task parent` or positioned after an existing `task previous` sibling, where both `task parent` and `task previous` must belong to the same `tasklist id` if specified.
Action
List Task ListsFetches the authenticated user's task lists from google tasks; results may be paginated.
Action
List TasksRetrieves tasks from a google tasks list; all date/time strings must be rfc3339 utc, and `showcompleted` must be true if `completedmin` or `completedmax` are specified.
Action
Move TaskMoves the specified task to another position in the destination task list.
Action
Patch TaskPartially updates an existing task (identified by `task id`) within a specific google task list (identified by `tasklist id`), modifying only the provided attributes from `taskinput` (e.g., `title`, `notes`, `due` date, `status`) and requiring both the task and list to exist.
Action
Patch Task ListUpdates the title of an existing google tasks task list.
Action
Update TaskUpdates the specified task.
Action
Update Task FullTool to fully replace an existing Google Task using PUT method. Use when you need to update the entire task resource, not just specific fields. This method requires all required fields (id, title) and replaces the complete task, unlike PATCH which supports partial updates.
Action
Update Task ListUpdates the authenticated user's specified task list.
Trigger
New projectTriggered 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 StatusRetrieve a BigML resource by id (source/dataset/model/prediction) to poll its status and read results.
Action
List DatasetsList BigML datasets, optionally filtered/paginated.
Action
List ModelsList BigML models, optionally filtered/paginated.
Action
List SourcesList BigML sources, optionally filtered/paginated.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
Google Tasks and BigML, answered
Can a task in Google Tasks tell me whether a BigML model has finished training?
Yes, when a task is updated in Google Tasks the connection can call Get Resource Status in BigML using the resource id kept in the task, and read back the current state. The status comes back on each run, so you check by touching the task rather than opening BigML.
Does BigML have a trigger for new datasets or models?
BigML only triggers on a new project here, so that is the starting point for anything that runs automatically. Datasets, models and sources are reached with the List Datasets, List Models and List Sources actions after the project trigger fires or after a Google Tasks trigger.
What can start an automation from Google Tasks?
Any of Google Tasks's 5 triggers in the catalog, including New Task Created, New Task List Created, Task Details Changed and Task List Changed. Describe the moment in plain language and your agent picks the right one.
What can your agent do in BigML when something happens in Google Tasks?
Any of BigML's 4 actions, including List Models, Get Resource Status, List Datasets and List Sources. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from BigML to Google Tasks?
Yes. When something happens in BigML, your agent can act in Google Tasks too. This page covers both directions: BigML's triggers and Google Tasks's actions are listed here as well.
Do I have to build a connector for Google Tasks or BigML?
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 Google Tasks and BigML 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.