Skyvern MCP Details
Skyvern is the complete browser MCP for AI agents. 75+ tools for clicking, filling forms, extracting structured data, logging in with 2FA, uploading files, drag-and-drop, running JavaScript, inspecting network traffic, multi-tab browsing, and building reusable cached workflows. First workflow run uses AI; subsequent runs replay a cached script with zero LLM calls.
Available Tools (19)
Examples & Tutorials
Navigate and Extract Data
Once Skyvern MCP is connected, ask Claude in natural language:
> "Go to news.ycombinator.com and extract the top 10 stories with title, score, and URL"
Claude will automatically call
skyvern_navigate and skyvern_extract behind the scenes. Fill a Form
> "Go to example.com/contact, fill in the form with name John Doe and email [email protected], then submit it"
Claude handles the full flow: navigate → fill → verify → submit.
Reusable Workflow
# Create a workflow once, run it anytime
skyvern_workflow_create(name="Daily Price Check", ...)
skyvern_workflow_run(workflow_id="wpid_...", run_with="code")
# Subsequent runs replay a cached script — no LLM calls needed
Installation Guide
Installation Guide
Cloud (recommended — no install needed)
Get your API key from app.skyvern.com Settings, then add to your client:
Claude Code:
claude mcp add-json skyvern '{"type":"http","url":"https://api.skyvern.com/mcp/","headers":{"x-api-key":"YOUR_SKYVERN_API_KEY"}}' --scope userCursor (~/.cursor/mcp.json):
{
"mcpServers": {
"Skyvern": {
"type": "streamable-http",
"url": "https://api.skyvern.com/mcp/",
"headers": { "x-api-key": "YOUR_SKYVERN_API_KEY" }
}
}
}Windsurf (~/.codeium/windsurf/mcp_config.json): Same JSON as Cursor.
Local self-hosted:
pip install skyvern
skyvern quickstartFull setup guide: docs-new.skyvern.com/docs/integrations/mcp
Integration Guides
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https://docs.skyvern.com
Python 3.11+, pip, Skyvern account (free at skyvern.com)
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