Integration
Connect Google Classroom and Overloop.ai
When New Announcement fires in Google Classroom, your agent runs Add list in Overloop.ai, or List Created in Overloop.ai to Create Announcement in Google Classroom. 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 Classroom and Overloop.ai to do together?
Ask the assistant
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)Example flows
What Google Classroom and Overloop.ai can do together
From Google Classroom to Overloop.ai
When New Announcement in Google Classroom
then Add list in Overloop.ai
When New Course in Google Classroom
then Add Prospect to Campaign in Overloop.ai
From Overloop.ai to Google Classroom
When List Created in Overloop.ai
then Create Announcement in Google Classroom
When New Exclusion List Item in Overloop.ai
then Create Course in Google Classroom
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 Classroom and Overloop.ai
Triggers and actions 5 triggers · 41 actions
Trigger
New AnnouncementTriggers when a new announcement is posted in a course.
Trigger
New CourseTriggers when a new course is created.
Trigger
New CourseworkTriggers when new coursework is posted in a course.
Action
Create AnnouncementPosts an announcement in a course.
Action
Create CourseCreates a new course.
Action
Create CourseworkCreates an assignment or question in a course.
Action
Create Coursework MaterialCreates a coursework material in a course.
Action
Create TopicCreates a topic in a course.
Action
Delete AnnouncementDeletes an announcement from a course.
Action
Delete CourseworkDeletes a coursework item from a course.
Action
Delete TopicDeletes a topic from a course.
Action
Get AnnouncementReturns an announcement in a course.
Action
Get CourseReturns a course by its ID.
Action
Get CourseworkReturns a coursework item in a course.
Action
Get Coursework MaterialReturns a coursework material in a course.
Action
Get TeacherReturns a teacher of a course.
Action
Get TopicReturns a topic in a course.
Action
List AnnouncementsReturns the announcements in a course.
Action
List CoursesReturns the courses the user can see.
Action
List CourseworkReturns the coursework in a course.
Action
List Coursework MaterialsReturns the coursework materials in a course.
Action
List TeachersReturns the teachers of a course.
Action
List TopicsReturns the topics in a course.
Action
Update AnnouncementUpdates an announcement in a course.
Action
Update CourseUpdates fields on an existing course, such as its name, section or state.
Action
Update CourseworkUpdates a coursework item in a course.
Action
Update TopicRenames a topic in a course.
Trigger
List CreatedTriggers when a new list is created in Overloop.ai.
Trigger
New Exclusion List ItemTriggers when a new email address or domain is added to your Overloop exclusion list.
Action
Add listCreates a new prospect or organization list in Overloop.
Action
Add Prospect to CampaignAdds a prospect to an Overloop campaign by enrolling them in it, optionally at a specific step or start time. Returns the new enrollment.
Action
Create OrganizationCreates a new organization in Overloop.ai with its name, contact details, address, lists and any custom fields.
Action
Create ProspectCreates a new prospect in Overloop.ai with contact details, lists, owner, organization and any custom fields, and returns the created prospect.
Action
Delete listPermanently deletes a list in Overloop. Prospects that were in the list are kept.
Action
Delete organizationPermanently deletes an organization in Overloop.ai. This cannot be undone.
Action
Delete prospectPermanently deletes a prospect from Overloop.ai, along with all of its history (messages, replies). This cannot be undone.
Action
Enroll ProspectEnrolls a prospect into an Overloop campaign or prospect-based workflow, optionally at a specific step or start time.
Action
Exclude ProspectExcludes a prospect from all future outreach by adding their email address (or their whole domain) to the Overloop exclusion list.
Action
Get organizationReturns a single Overloop organization by its ID, including its standard details, lists and any custom field values.
Action
Get prospectReturns a prospect by ID, including its contact details, engagement status, lists and custom field values. An error occurs if the prospect is not found.
Action
List automationsReturns the automations (outbound campaigns and productivity workflows) in your Overloop account, optionally filtered by type, record type or status.
Action
List usersReturns the users on your Overloop.ai account, with their name, email, role and status, optionally filtered to active or disabled users.
Action
Search ListReturns the Overloop lists whose name contains the text you give, optionally limited to prospect or organization lists.
Action
Search OrganizationReturns the organizations in Overloop.ai that match the name, website, email or other details you specify.
Action
Search ProspectReturns the prospects that match the email, name, job title, location or engagement status you specify.
Action
Update listRenames an existing Overloop list and returns the updated list.
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 Classroom and Overloop.ai, answered
What can start an automation from Google Classroom?
Any of Google Classroom's 3 triggers in the catalog, including New Announcement, New Course and New Coursework. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Overloop.ai when something happens in Google Classroom?
Any of Overloop.ai's 17 actions, including Create Organization, Create Prospect, Update list and Add list. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Overloop.ai to Google Classroom?
Yes. When something happens in Overloop.ai, your agent can act in Google Classroom too. This page covers both directions: Overloop.ai's triggers and Google Classroom's actions are listed here as well.
Do I have to build a connector for Google Classroom or Overloop.ai?
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 Classroom and Overloop.ai 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.