Vercel Ai Gateway Setup
Helps with Vercel, AI, setup and configuration as part of agent workflows workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add vercel-ai-gateway-setup npx -- -y @trustedskills/vercel-ai-gateway-setup
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"vercel-ai-gateway-setup": {
"command": "npx",
"args": [
"-y",
"@trustedskills/vercel-ai-gateway-setup"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill automates the setup of a Vercel AI Gateway. It simplifies deploying and managing AI models on Vercel, handling routing and infrastructure concerns. This allows users to quickly integrate their AI models into applications without complex configuration.
When to use it
- You want to deploy an existing AI model (e.g., LLM) to a production environment using Vercel.
- You need a simple way to route requests to different AI models based on specific criteria.
- You're building a serverless application that requires AI inference capabilities and prefer the scalability of Vercel.
- You want to avoid manually configuring infrastructure for your AI model deployment.
Key capabilities
- Automated Vercel AI Gateway setup
- Model routing configuration
- Simplified deployment process
Example prompts
- "Set up a Vercel AI Gateway for my Llama 2 model."
- "Configure the gateway to route requests with 'image' in the query string to my image generation model."
- “Deploy my Stable Diffusion model using this skill.”
Tips & gotchas
The skill requires familiarity with Vercel and basic understanding of AI models. Ensure your AI model is packaged appropriately for deployment (e.g., as a Docker container or serverless function).
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.