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Record
Record a video using the web app
Record a video using the Chrome extension
Record a video using the Mac app
Choose what to record
Record a slideshow presentation
Permissions for camera, mic & screen on the web app and Chrome extension
How to use clips
Re-record clips
Upload existing videos
Use speaker notes while recording
How to record system audio (desktop sound) in Tella
Edit
How to edit a video
Remix & reuse videos and clips
Trim and split clips
Adjust playback speed in the editor
How to replace a section of your video in Tella
Add your logo to videos
Layouts
Transcript & Subtitles
AI Edit
Video Effects
Video Metadata
Share
Share & download
Export
Embed
Playlists
Viewer settings
Comments
How to post videos to Twitter
Generate an animated GIF from your video
How to generate a document from your Tella video
How to hide video creation date
How to adjust viewer playback speed
Manage
Account
Workspace
Billing
Integrations
Public API and webhooks
Tella MCP Server
Zapier
Relay.app
Embed Tella videos in Linear
Linear integration
Notion integration
Migration
Troubleshooting
FAQ
Tips & Tricks
How to create engaging video intros in Tella
iPhone demos using screen mirroring
iPhone demos using Quicktime
Share your iPad screen in a Tella video
Use your iPhone as a webcam
Punch in (zoom in) on your camera
Show keys pressed in your video
Beta
Video analytics (now in beta)
Referrals
Refer and earn
On this page
What can you do with the Tella MCP server?
Getting started
What is MCP?
Integrations
Tella MCP Server
Tella offers an MCP (Model Context Protocol) server that lets you connect AI assistants like Claude directly to your Tella workspace.
What can you do with the Tella MCP server?
Once connected, AI assistants can:
List and search your Tella videos
Access video metadata, transcripts, and summaries
Help you organize and manage your video library
Getting started
For full setup instructions, configuration options, and available commands, see our MCP documentation:
docs.tella.com/mcp-server
What is MCP?
Model Context Protocol is an open standard that allows AI assistants to securely connect to external tools and data sources. It was created by Anthropic and is supported by Claude and other AI applications.
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