Connect Microsoft Teams and Google Gemini AI integrations
Turn every Microsoft Teams conversation into intelligent action with Google Gemini AI. Automatically transform messages and discussions into AI-powered summaries, insights, and draft responses—no manual work required. Connect your team communication directly to advanced AI assistance that thinks, analyzes, and responds in real-time.
Triggers when a someone sends a message in a team's channel or in a chat.
Triggers when a new reply to selected message is received. Not available for Personal accounts.
Triggers when a new Microsoft Team or Office 365 group is created.
Creates a new file search store.
Deletes a file from a selected files search store.
Deletes a file search store.
Extracts structured data from text or files.
Generates an image.
Generates a response for the provided input.
Generates a video.
Generate vector representations (embeddings) for the text or file you provide.
Generate high-quality, stereo audio from text prompts or from images.
Generates an audio file based on text input and settings.
Returns detailed information about a file in a file search store.
Retrieves details about a file search store.
Performs an arbitrary authorized API call.
Generates text responses from prompts without requiring an account or connection.
Uploads a file so it can be used in the completions or in file search stores.
Returns a list of file search stores.
Returns a list of files from a selected file search store.
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Build your Microsoft Teams and Google Gemini AI integrations.
Google Gemini AI functions as the trigger in this integration, monitoring events such as new messages, channel updates, or team conversations. When a specified trigger event occurs in Google Gemini AI, it activates the automation workflow. Microsoft Teams then serves as the action component, receiving the data from Google Gemini AI to analyze messages, generate summaries of discussions, provide AI-assisted answers, create draft responses, or produce AI-powered content based on the triggered conversation. The workflow connects these apps so that communication events in Google Gemini AI automatically prompt Microsoft Teams to perform designated intelligent tasks, transforming team conversations into actionable insights without manual intervention.
Adds a new member.
Adds a member into an Office 365 Group.
Creates a new channel in a Microsoft Team.
Create Microsoft Team by calling from Office 365 Group.
Creates a new file search store.
Creates a new Office 365 Group.
Creates an online meeting. This will be a standalone meeting that is not associated with any event on the user's calendar; therefore, meetings created via this module will not show on the user's calendar.
Deletes a channel from team.
Deletes Microsoft Team or Office 365 Group in an organization.
Popular Microsoft Teams and Google Gemini AI workflows.
Looking to get more out of Microsoft Teams and Google Gemini AI? With Make you can visually integrate Microsoft Teams and Google Gemini AI into any workflow to save time and resources — no coding required. Try any of these templates in just a few clicks.
How to setup Microsoft Teams and Google Gemini AI in 5 easy steps
Add your app module in Make
Log into your Make account and find the app you want to connect, such as Microsoft Teams or Google Gemini AI. Add the module to your scenario and click on the option to create a connection. You can give your connection a memorable name to help you identify it later, which is especially useful if you work with multiple accounts.
Set up Google Cloud Platform for Gemini AI
To connect Google Gemini AI, you'll need to create a Google Cloud Platform project first. Log into Google Cloud Platform, click 'Create or select a project', then 'New project'. Give it a name, choose a location, and click 'Create'. This project acts as a container for your app's settings and is necessary before you can get your API key.
Get your API key from Google AI Studio
Visit Google AI Studio and click 'Get API key', then select 'Create API key'. Choose the Google Cloud project you just created and click 'Create API key in existing project'. Copy the API key that appears and keep it safe. This key acts like a special password that allows Make to communicate with Google Gemini AI.
Enter your API key in Make
Return to Make and paste the API key you copied into the 'API Key' field in the connection window. Double-check that you've copied it correctly to ensure Make can securely communicate with your Google Gemini AI account. Once entered correctly, this completes the technical setup for Gemini AI.
Authenticate and start building
After entering your connection details and clicking 'Save', you'll be prompted to log in to the service and confirm that you want Make to access your account. Once authentication is complete, Make will confirm your connection is established with a success message. You can now use the connected app's features in your scenarios and start building your automations.
AI-powered team collaboration with Microsoft Teams and Google Gemini AI
Improve Microsoft Teams with Google Gemini AI to automate responses, generate meeting summaries, create multilingual content, and provide technical assistance for smarter team collaboration.
Automatically generate intelligent responses, summaries, and content for Microsoft Teams messages and channels using Gemini AI's natural language capabilities.
Transform Teams meeting transcripts into concise summaries, action items, and follow-up content with Gemini AI's advanced text processing.
Generate engaging team announcements, documentation, and educational content directly in Teams channels using Gemini's creative writing abilities.
Enable real-time translation and multilingual communication in Teams conversations by leveraging Gemini's language translation capabilities.
FAQ
By integrating Microsoft Teams with Google Gemini AI through Make, you can automate intelligent responses, generate summaries of team conversations, create meeting notes automatically, and draft messages using AI. This integration allows you to bring Google's powerful language model directly into your team's communication workflow, reducing manual tasks and enabling your team to focus on strategic work. Make's no-code platform makes this integration straightforward to set up without requiring any programming knowledge.
You can create powerful automations such as: automatically generating meeting summaries from Teams channel messages and posting them back to the channel, using Gemini AI to analyze sentiment in team communications and alert managers, creating AI-powered chatbot responses for common team questions, translating messages between team members who speak different languages, or generating draft responses to customer inquiries posted in Teams channels. Make's visual workflow builder allows you to customize these scenarios to match your specific business needs.
No coding skills are required. Make is a no-code automation platform with an intuitive visual interface. You simply drag and drop modules for Microsoft Teams and Google Gemini AI, connect them together, and configure the actions you want to automate. Make provides pre-built templates and modules for both applications, making it accessible for anyone to create sophisticated integrations. You can start with basic automations and gradually build more complex workflows as you become comfortable with the platform.
Yes, Make takes security seriously and uses industry-standard encryption and authentication protocols for all integrations. When you connect Microsoft Teams and Google Gemini AI through Make, you authenticate each application using secure OAuth protocols, and Make only accesses the data you explicitly authorize. Your credentials are encrypted, and Make is compliant with major security standards including GDPR. Additionally, you maintain full control over what data flows between applications and can monitor all automation activities through Make's execution logs.
A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.
Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.
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