Skyvern
What is Skyvern?
Skyvern is a tool designed to automate browser-based workflows using Large Language Models (LLMs) and computer vision. It simplifies the process of automating manual tasks across various websites, providing a more reliable solution compared to traditional automation methods.
How to use Skyvern?
To use Skyvern, you can either run it locally by installing it via pip or use the managed Skyvern Cloud service. For local installation, you need Python 3.11 or higher. After installation, you can run tasks by specifying a prompt and the desired URL.
Key features of Skyvern?
- Automates browser workflows using LLMs and computer vision.
- Supports both local and cloud-based execution.
- Capable of handling complex tasks without relying on brittle XPath selectors.
- Provides a user-friendly interface for monitoring tasks and workflows.
- Integrates with various LLMs and supports multiple authentication methods.
Use cases of Skyvern?
- Automating the job application process.
- Downloading invoices from multiple websites.
- Filling out forms on government websites.
- Retrieving insurance quotes from various providers.
- Automating materials procurement for manufacturing companies.
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 predefined selectors. -
Is there a cloud version of Skyvern?
Yes, Skyvern Cloud allows users to run multiple instances without managing infrastructure. -
What programming language is required?
Skyvern requires Python 3.11 or higher for local installations.
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"
]
}
}
}