Krexel vs Vercel — which hosting platform fits AI-native builders?
Both deploy static sites. But Vercel treats AI agents as an afterthought; Krexel is built around them. Here's how they differ and which fits your workflow.
Krexel vs Vercel: both deploy static sites, but Vercel is built for the git workflow (40-60 second full rebuilds per change) and Krexel is built for the AI workflow (8-second patch deploys via MCP). Vercel is the right choice for SSR Next.js with a human team. Krexel is the right choice for sites the AI is shipping and iterating on.
The single biggest difference is the deploy loop. If you understand how the two platforms respond when an AI agent wants to change one line, you understand the rest.
The headline difference
Vercel is built for the git workflow. Krexel is built for the AI workflow.
The difference is what happens when your AI agent wants to change one line.
On Vercel:
- AI reads the file
- AI makes the edit locally
- AI commits to git
- AI pushes to GitHub
- Vercel detects the push
- Vercel rebuilds the entire site (40-60 seconds)
- Vercel deploys the result
- User sees the change
On Krexel:
- AI reads the live file via
get_current_site - AI calls
patch <file>with the change - Live in 8 seconds
The git flow adds 5 steps and 30-50 seconds. The patch flow is direct.
What you actually get
| Feature | Krexel | Vercel |
|---|---|---|
| Deploy from Claude Code, Cursor, Windsurf | Built-in MCP server (15 tools) | Git workflow (requires GitHub credentials) |
| Edit live site from the AI | 8-second patch deploys | Full rebuild via git push |
| Cost per small edit | 0.1 deploy | 1 build minute |
| Time from AI edit to live | 8 seconds | 40-60 seconds |
| AI agent tools (deploy/patch/rollback) | 9 MCP tools | CLI exists (vercel deploy) |
| Open source CLI | MIT-licensed | Closed source |
| Git-based deploys | Available (clone + deploy) | Native |
| Custom domains | Free on all tiers | Per-project on free |
| Global CDN | Cloudflare (300+ PoPs) | Vercel Edge Network |
| Free tier | 100 deploys/mo, yourname.krexel.com subdomain | Generous free tier (Hobby) |
| SSR / ISR | Not supported (static only) | Native |
| Edge Functions | Not supported | Native |
| Next.js first-class | Static output only | Native (framework owner) |
The cost model
If your AI is making 30 edits a day to a site, the difference is real.
Vercel (Pro plan, $20/mo):
- 30 edits × 1 build minute each = 30 build minutes/day
- 900 build minutes/month (well above the included 1,000)
- Need to upgrade to Enterprise or pay overage
Krexel (Builder plan, $10/mo):
- 30 edits × 0.1 deploy each = 3 deploys/day
- 90 deploys/month (under the included 100)
- Same plan, no upgrade
The Krexel cost model is designed for the AI iteration loop. The Vercel cost model is designed for the human commit-push cadence where 1-2 deploys/day is normal.
When to pick Vercel
Pick Vercel when:
- You need SSR or ISR. Vercel owns Next.js and runs it natively on the edge. If you need server-rendered pages with dynamic data (auth-gated dashboards, real-time APIs), Vercel is the right choice.
- Your team is humans using git. If the AI is shipping v1 and humans are maintaining it with git commits, Vercel's git-native workflow is the right shape.
- You're already in the Vercel ecosystem. Vercel Postgres, Vercel KV, Vercel Blob, and the v0 AI integration form a coherent platform. If you're using two of those, stay on Vercel.
- The build is the source of truth. If your team thinks in terms of "PRs that get built and deployed," Vercel's flow matches your mental model.
When to pick Krexel
Pick Krexel when:
- The AI is iterating on the live site. If the AI is making 10+ edits per day, the difference between 8-second patches and 60-second full rebuilds is the difference between a real-time conversation and a sequence of coffee breaks.
- You want MCP-native AI tools. Vercel has a CLI that the AI can call, but no MCP server. With Krexel, the AI gets structured tools with typed inputs and outputs.
- You ship fast and don't need git ceremony. The Krexel flow is
npm install -g krexel,krexel login,krexel ship ./dist <slug>. No GitHub, no PR, no review. - Cost scales with iteration. If your AI iterates heavily, Vercel's build-minute model is punishing. Krexel's per-deploy model (with patches at 0.1) is the inverse.
What the AI can do from the chat
With Krexel, the AI's tools map directly to site operations:
- "Ship me a portfolio site" →
init+ship(60 seconds) - "Change the H1" →
patch(8 seconds) - "Add a contact form" →
write_file(8 seconds) - "Revert that" →
rollback(4 seconds) - "Show me my deploys" →
get_current_site
With Vercel, the AI has to drive a CLI:
- "Ship me a portfolio site" →
vercel init+vercel deploy(5-10 min) - "Change the H1" → file edit +
git add+git commit+git push(40-60s) - "Add a contact form" → file edit + git workflow (40-60s)
- "Revert that" →
vercel rollback(30s, but only for the most recent) - "Show me my deploys" →
vercel ls(1-2s)
Krexel's tools are an order of magnitude faster for the iteration loop. Vercel's CLI works but is designed for a human at a terminal, not an AI in a chat.
The setup story
Vercel (8 steps, 5-10 minutes):
- Create a GitHub repo
- Sign up for Vercel
- Connect the GitHub repo to Vercel
- Configure framework preset (Next.js, Astro, etc.)
- Wait for the initial build
- Get a URL
- Add the AI CLI to the conversation
- Authorize the CLI
Krexel (2 commands, 60 seconds):
npm install -g krexel
krexel login
That's it. No GitHub, no Vercel signup, no framework config. The first deploy creates the project and gives you a URL.
The lock-in question
Neither platform locks you in for the data, but they do for the deploy workflow.
- Vercel lock-in: The build output is static files. You can host them anywhere (Netlify, Cloudflare Pages, Krexel). But the Vercel-specific features (Edge Functions, ISR, Image Optimization, Analytics) are not portable.
- Krexel lock-in: The deployed files are static files. You can host them anywhere. The Krexel-specific features (MCP tools, patch deploys, AI-aware rollback) are not portable — but the underlying API is a documented HTTP API, so you can build your own MCP server for another host if you need to.
For a static marketing site, there's no lock-in either way. For a Next.js SSR app, switching off Vercel means rewriting the SSR parts.
Who uses which
Vercel users: Next.js teams, agencies building client sites, SaaS companies with marketing sites that need ISR, anyone who wants the Vercel ecosystem.
Krexel users: Solo developers using AI to ship and iterate, founders who describe their site in a sentence and have it live in a minute, AI-first teams where the AI is the primary deployer, anyone who has ever said "I just want to change one line, not rebuild the whole site."
Try it
npm install -g krexel
krexel login
Or with AI:
claude mcp add --transport stdio krexel -- krexel-mcp
Then in your AI:
"What tools do you have for Krexel?"
If the response lists ship, patch, rollback, and the read/edit file tools, you're set. Edit your site from the chat.
If you need SSR, install Next.js on Vercel — the right tool for that job. If you need the AI iteration loop, install Krexel — the right tool for that job.
Read more
- What is AI-native hosting? — the category Krexel defines
- Krexel vs Cloudflare Pages — when to use each
- Krexel vs Netlify — when to use each
- Deploy from Claude Code in 60 seconds — the AI workflow
Frequently asked questions
What is the main difference between Krexel and Vercel?
Vercel is a static-site and Next.js hosting platform tied to git. Krexel is built for AI agents — the deployer calls a tool, the change ships. The difference is what happens when your AI agent wants to change one line: Vercel requires a full git commit-push-build-deploy cycle (40-60 seconds); Krexel uses an 8-second patch deploy.
Can I use Vercel with Claude Code or Cursor?
Yes, but the AI has to drive a full git workflow every time — add, commit, push, wait for the build. With Krexel, the AI gets MCP tools (ship, patch, rollback) that operate directly on the live site, so patch deploys take 8 seconds instead of 40-60 and cost 0.1 deploys instead of 1.0.
Does Vercel support patch deploys?
No. Every Vercel deploy rebuilds the entire site. There is no first-class way to update a single file in production without a full git push. Vercel does have edge config and edge functions, but those are for runtime customization, not content updates.
Is Krexel cheaper than Vercel for AI-built sites?
For sites the AI is iterating on heavily, yes. Vercel charges per build minute (1 build minute per push). Krexel charges per deploy (1.0 for a full ship, 0.1 for a patch). If your AI makes 30 edits a day, Vercel costs 30 build minutes; Krexel costs 3 deploys of the equivalent tier.
Can I host Next.js on Krexel?
Static Next.js (with `output: 'export'` in next.config.js) works on Krexel. SSR Next.js does not — Krexel is a static host. If you need SSR, Vercel is the better choice. For most marketing sites, portfolios, and docs, static Next.js on Krexel is faster and cheaper than full Next.js on Vercel.
Which is faster to set up for an AI-built site?
Krexel: 2 commands and 60 seconds (npm install -g krexel; krexel login). Vercel: 8+ steps and 5-10 minutes (GitHub repo, Vercel signup, repo connect, framework detection, build config). For sites the AI is shipping from the chat, the Krexel setup is meaningfully faster.