How to Use the api.video MCP in Claude Code
Control your entire video pipeline directly from your terminal by connecting this api.video MCP Server to Claude Code.
Works with every AI agent you already use
…and any MCP-compatible client
Connect api.video MCP to Claude Code
Create your Vinkius account to connect api.video to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automate video ingestion from your Claude Code terminal
Claude Code handles your files, so let it handle your uploads too. You can instruct your terminal agent to spin up a new hosting target using `create_video_object` and immediately get back the upload token. It cuts out the context switching of opening a browser to drop a file into a dashboard. If a build fails or an asset gets deprecated, you don't need to manually hunt down the file ID. Tell your command-line agent to call `delete_video` right inside your terminal session to clean up your staging environments.
Audit video performance using CLI-driven analytics
Sifting through video views shouldn't require logging into a heavy web UI. Your agent can query `get_video_analytics` to pull raw performance numbers directly into your terminal buffer. Pipe that output straight into your custom shell scripts or grep for specific drop-off patterns. You can also keep tabs on your library structure by running `list_videos` to filter assets by tags or titles. If you spot outdated titles during a quick terminal audit, your agent can fix them instantly with `update_video_details`.
Manage player themes and captions in headless scripts
Managing global brand assets shouldn't slow down your deployment scripts. This MCP Server lets your terminal agent run `list_player_themes` to verify that your videos use the correct branded player before they go live. If you are prepping localized content, your agent can check for translation gaps. Use `list_video_captions` and `list_video_chapters` to confirm that all required accessibility and navigation markers are in place before your release script finishes.
Set up api.video MCP in Claude Code
Prerequisites
- Claude Code CLI installed (
npm install -g @anthropic-ai/claude-code) - Active Vinkius subscription with a valid endpoint token
- 1
Run the add command
Open your terminal and run the command shown on the right. Replace
[YOUR_TOKEN_HERE]with your endpoint token from cloud.vinkius.com. Use--scope userto make it available across all projects. - 2
Verify the connection
Start a Claude Code session and type
/mcpto list connected servers. You should seeapivideo-mcpwith a green status indicator. - 3
Start using tools
Ask Claude Code something like "Check my latest api.video transactions." It will automatically discover and invoke the available api.video tools.
claude mcp add --transport http apivideo-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about api.video MCP in Claude Code
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the api.video MCP today
We host it, we monitor it, we maintain it. You just paste one token.