Skyvern - Advanced Browser Automation

Created By
Kasha year ago
Skyvern is a Advanced Browser Autoation tool, that can automate ANYTHING (not kidding here) that you do in browser repetedly. Used for various application from invoice making, Product listing, Very advanced scraping, job appplying and everything you can imagine.
Overview

What is Skyvern?

Skyvern is an advanced browser automation tool that can automate virtually any repetitive task performed in a web browser. It is designed for a variety of applications, including invoice creation, product listing, advanced web scraping, job applications, and more.

How to use Skyvern?

To use Skyvern, you can either run it locally by installing it via Python or use the managed cloud version. For local installation, you need Python 3.11 or higher. After installation, you can run tasks by specifying a prompt and the desired action.

Key features of Skyvern?

  • Automates browser-based workflows using LLMs and computer vision.
  • Supports both local and cloud-based execution.
  • Capable of handling complex workflows with multiple tasks.
  • Provides features for data extraction, form filling, and file downloading.
  • Integrates with various LLMs and supports 2FA authentication.

Use cases of Skyvern?

  1. Automating the job application process.
  2. Downloading invoices from various websites.
  3. Filling out government forms and applications.
  4. Scraping data from e-commerce sites for competitor analysis.
  5. Automating procurement processes in manufacturing.

FAQ from Skyvern?

  • Can Skyvern automate any website?

Yes, Skyvern can automate interactions on websites it has never seen before by using visual elements instead of relying on code-defined interactions.

  • Is there a cloud version of Skyvern?

Yes, Skyvern offers a managed cloud version that allows users to run multiple instances in parallel without worrying about infrastructure.

  • How does Skyvern handle website layout changes?

Skyvern is designed to be resistant to layout changes, as it does not rely on pre-defined selectors, making it more robust than traditional automation tools.

Server Config

{
  "mcpServers": {
    "Skyvern": {
      "env": {
        "SKYVERN_BASE_URL": "https://api.skyvern.com",
        "SKYVERN_API_KEY": "YOUR_SKYVERN_API_KEY"
      },
      "command": "${PYTHON_EXECUTABLE}",
      "args": [
        "-m",
        "skyvern",
        "run",
        "mcp"
      ]
    }
  }
}
Project Info
Created At
a year ago
Updated At
a year ago
Author Name
Kash
Star
-
Language
-
License
-

Recommend Servers

View All
Payai X402 Tools

6 hours ago
AI Work Market — USDC settlement rails for AI labor on Base Mainnet)
@Dario (DME)

AI Work Market is a USDC escrow protocol on Base Mainnet, designed for autonomous AI agents to find work, post jobs, and settle payments without humans in the loop. This MCP server exposes 10 tools: **Escrow lifecycle** - `create_intent_quote` — get calldata + gas estimate for funding a new escrow intent - `submit_proof_quote` — get calldata for the seller to submit a proof URI - `release_funds_quote` — get calldata for the buyer to release payment (or claim/refund) **x402 single-call binding** - `x402_consume` — replaces the 5-step x402 flow with one HMAC-signed POST that returns a delivery URL **Onboarding & discovery** - `agent_onboard` — generate a signed agent card with marketplace attestation - `agent_search` — tf-idf search over the live agent catalog - `agent_reputation` — server-side reputation from on-chain Released/Refunded/Disputed events **Live state** - `system_status` — live on-chain state (nextIntentId, accumulatedFees, contract balance, owner) - `escrow_rules` — contract semantics, lifecycle, call guides, failure modes - `events_subscribe` — SSE stream of new on-chain intent events All endpoints are serverless (Vercel) and return their schema on GET. No browser, no wallet UI required for an agent to integrate. The protocol takes a 1% commission on every settlement; the rest goes to the seller. The full AgentCard is at `/.well-known/agent-card.json` (A2A-compatible). The OpenAPI 3.0.3 spec is at `/.well-known/openapi.json` with `components.securitySchemes` (none, hmacX402). `robots.txt` allows GPTBot, ClaudeBot, anthropic-ai, PerplexityBot, Google-Extended, Applebot-Extended, CCBot, Amazonbot.

a day ago