skyvern
Automate browser based workflows with AI
The Skyvern MCP server enables AI assistants to automate browser-based workflows using vision language models and computer vision. It provides capabilities for web scraping, form filling, data extraction, and multi-step browser automation without relying on brittle XPath selectors. The server integrates with Playwright to give AI agents the ability to navigate websites they've never seen before, adapt to layout changes, and execute complex workflows across different sites using natural language instructions.
Key Features
Use Cases
- 01Automating invoice downloads from multiple vendor portals with varying layouts
- 02Filling out job applications across different career sites
- 03Extracting structured data from websites without predefined schemas
- 04Navigating government forms and registration workflows
- 05Retrieving insurance quotes from multiple providers in any language
- 06Automating materials procurement across supplier websites
Related MCP Servers
View moremarkitdown
Python tool for converting files and office documents to Markdown.
firecrawl
The context API to search, scrape, and interact with the web at scale. 🔥
prompts.chat
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
langflow
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
skyvern — FAQ
What is the Skyvern MCP server?+
The Skyvern MCP server is a Model Context Protocol implementation that gives AI assistants browser automation capabilities through vision-based web navigation, form filling, and data extraction without requiring custom scripts for each website.
How do I install the Skyvern MCP server?+
Install via pip with 'pip install skyvern[all]', then run 'skyvern quickstart' to set up the server. You can also use Docker Compose or connect to the managed Skyvern Cloud service. Configure your LLM provider API key in the .env file.
Which AI clients work with Skyvern?+
Skyvern provides both a standalone UI accessible at localhost:8080 and Python/TypeScript SDKs for programmatic access. It supports the Model Context Protocol for integration with MCP-compatible AI assistants.
Do I need API keys to use Skyvern?+
Yes, you need an API key for an LLM provider (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Gemini, or Ollama for local models). For Skyvern Cloud features like anti-bot detection and proxy networks, you need a Skyvern Cloud account.
Is Skyvern free to use?+
The open-source version is free under the AGPL-3.0 license, though you'll pay for LLM API usage. Skyvern Cloud is a managed service with additional features like anti-bot detection, proxy networks, and CAPTCHA solvers that requires a paid account.
Can Skyvern control my existing Chrome browser?+
Yes, Skyvern can connect to your existing Chrome browser via the Chrome DevTools Protocol to use your logged-in sessions, cookies, and extensions. Enable remote debugging in Chrome at chrome://inspect/#remote-debugging and connect using the browser_address parameter.
How do I install skyvern?+
Open the source repository on GitHub and follow its README. skyvern is a mcp server — MCP Agents Market links you directly to the official repo.
Is skyvern free?+
skyvern is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.