How to Use the Huddle01 (Web3 Video API) MCP in Claude Code
Control your Huddle01 video infrastructure directly from your terminal using Claude Code CLI commands.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Huddle01 (Web3 Video API) MCP to Claude Code
Create your Vinkius account to connect Huddle01 (Web3 Video API) 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.
Provision rooms straight from your terminal
The `create_room` tool initializes a Huddle01 meeting room and lets you define whether the room is locked. Running this through Claude Code allows you to spin up a new video space instantly without opening a browser or writing a custom script. Your terminal agent handles the entire request. It returns the room details, which you can immediately pipe into other shell utilities or save to a local configuration file.
Automate CI/CD pipelines with this MCP Server
The `get_metrics` tool retrieves usage statistics for your Huddle01 API key. Claude Code can run this tool in a headless environment, such as a GitHub Action or a cron job, to monitor your video bandwidth usage and alert you if metrics spike. Because the CLI operates without a GUI, you can easily integrate these checks into your existing deployment pipelines. The agent runs the command, parses the JSON payload, and exits with standard shell codes.
Query live sessions and recordings via CLI
The `get_live_sessions` tool pulls currently active video calls directly into your terminal. When troubleshooting a live issue, you can tell Claude Code to fetch active sessions and then call `get_live_session_participants` to pinpoint active users. You can also locate recording files by running `get_recordings` with a sessionId filter. The CLI agent outputs the raw download links directly to stdout, allowing you to curl the video files immediately.
Set up Huddle01 (Web3 Video API) 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 seehuddle01-web3-video-api-mcpwith a green status indicator. - 3
Start using tools
Ask Claude Code something like "Check my latest Huddle01 (Web3 Video API) transactions." It will automatically discover and invoke the available Huddle01 (Web3 Video API) tools.
claude mcp add --transport http huddle01-web3-video-api-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.
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Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Huddle01 (Web3 Video API) MCP in Claude Code
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Huddle01 (Web3 Video API) MCP today
We host it, we monitor it, we maintain it. You just paste one token.