Skyvern's MCP server implementation helps connect your AI Applications to the browser. This allows your AI applications to do things like: Fill out forms, download files, research information on the web, and more.
Skyvern's MCP server implementation helps connect your AI Applications to the browser. This allows your AI applications to do things like: Fill out forms, download files, research information on the web, and more.
You can connect your MCP-enabled applications to Skyvern in two ways:
⚠️ REQUIREMENT: Skyvern only runs in Python 3.11 environment today ⚠️
Install Skyvern
pip install skyvern
Configure Skyvern Run the setup wizard which will guide you through the configuration process. You can connect to either Skyvern Cloud or a local version of Skyvern.
skyvern init
(Optional) Launch the Skyvern Server. Only required in local mode
skyvern run server
https://github.com/user-attachments/assets/0c10dd96-c6ff-4b99-ad99-f34a5afd04fe
https://github.com/user-attachments/assets/084c89c9-6229-4bac-adc9-6ad69b41327d
https://github.com/user-attachments/assets/70cfe310-24dc-431a-adde-e72691f198a7
skyvern init helps configure the following applications for you:
Use the following config if you want to set up Skyvern for any other MCP-enabled application
{
"mcpServers": {
"Skyvern": {
"env": {
"SKYVERN_BASE_URL": "https://api.skyvern.com", # "http://localhost:8000" if running locally
"SKYVERN_API_KEY": "YOUR_SKYVERN_API_KEY" # find the local SKYVERN_API_KEY in the .env file after running `skyvern init` or in your Skyvern Cloud console
},
"command": "PATH_TO_PYTHON",
"args": [
"-m",
"skyvern",
"run",
"mcp"
]
}
}
}