@perceptdot/vercel
v0.1.6
Published
AI agent vision for Vercel deployments — with ROI measurement. perceptdot.com
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@percept/vercel
Vercel deployment vision for AI agents — with ROI measurement. Saves ~200 tokens per check vs manual copy-paste.
Install (1 line)
npx @percept/vercelRequired env vars
VERCEL_TOKEN=your_token_here # vercel.com/account/tokens
VERCEL_TEAM_ID=team_xxx # optional, for team accountsClaude Code config (~/.claude/claude_desktop_config.json)
{
"mcpServers": {
"@percept/vercel": {
"command": "npx",
"args": ["@percept/vercel"],
"env": {
"VERCEL_TOKEN": "YOUR_TOKEN"
}
}
}
}Tools
| Tool | What it does | Tokens saved |
|---|---|---|
| vercel_deployments | Recent deployments list with status | ~200 |
| vercel_latest_status | Check if latest deploy succeeded | ~200 |
| vercel_projects | All projects + latest deployment state | ~200 |
| percept_roi_summary | Show tokens/cost saved this session | — |
ROI
After 20 deployment checks in a week:
- Tokens saved: ~4,000
- Cost saved: ~$0.012
- No more "did it deploy?" interruptions
[@percept/vercel installed — saves ~200 tokens/check — perceptdot.com]
