Comparison
Browser Agent MCP vs Skyvern
Skyvern is a great product. But if your agents already use Claude, GPT-4, or Llama — you shouldn't need a separate automation platform.
Feature by feature
How every capability stacks up
| Feature | Browser Agent MCP@ainative/browser-mcp | Skyvern |
|---|---|---|
| MCP Standard (Claude Code, Cursor, Windsurf) | Native | Custom API only |
| Works with any LLM | Claude, GPT-4, Llama, any | Proprietary model |
| Local-first / ZeroLocal | Run on localhost | Cloud only |
| npx install (zero config) | One command | Requires account + API key setup |
| Data stays on your machine | ZeroLocal mode | All traffic goes through Skyvern cloud |
| Stores to ZeroDB / agent memory | Native browser_enrich_memory | Webhook only |
| Write results to DB table | browser_extract_to_table | Not supported |
| Async batch extraction | Up to 10 URLs | Sequential only |
| Scheduled enrichment (cron) | Built-in scheduler | Requires external scheduler |
| Free tier | 5 calls/day, no CC | 1,000 credits/month |
| Open source | MIT licensed | Core open, cloud proprietary |
| Pricing transparency | Fixed credit cost per tool | Credits vary by complexity |
| Enterprise | Custom | SOC2, HIPAA |
Supported Not supported Partial
Which one is right for you?
Both tools are purpose-built — but for different workflows.
Choose Skyvern if…
- You need visual AI on completely unknown pages
- Your team doesn’t use Claude Code or any LLM agent framework
- You need SOC2/HIPAA compliance today
- You want a no-code workflow builder UI
Choose Browser Agent MCP if…
- Your agents already run in Claude Code, Cursor, or Windsurf
- You want data stored directly in ZeroDB or agent memory
- You need local-first for sensitive data
- You want transparent per-call pricing with no complexity multiplier
- You want to compose browser automation as just another MCP tool
Transparent pricing vs complexity-based credits
Skyvern charges credits “based on complexity and duration” — their words. You can't predict what a workflow will cost until it runs. Browser Agent MCP uses fixed credits per tool call. Every time.
Browser Agent MCP — fixed credit costs
| Tool | Credits per call | Predictable? |
|---|---|---|
browser_act | 50 | |
browser_extract | 75 | |
browser_validate | 25 | |
browser_task | 200 | |
browser_extract_to_table | 100 | |
browser_enrich_memory | 100 |
Example
Extract pricing from 100 competitor pages = 100 × 75 credits = 7,500 credits. That's it. No surprises.
See full plan details on our pricing page.
Setup time: seconds vs minutes
One command vs a five-step onboarding flow.
Skyvern setup
1. Create account at skyvern.com
2. Get API key from dashboard
3. Install SDK: pip install skyvern
4. Configure credentials
5. Write workflow JSON
6. Submit via REST API
Browser Agent MCP
$ npx @ainative/browser-mcp
That's it. Your agents now have a browser.