Model Context Protocol (MCP)

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:

1. Local Skyvern Server
   • Use your favourite LLM to power Skyvern
2. Skyvern Cloud
   • Create an account at app.skyvern.com
   • Get the API key from the settings page which will be used for setup

Quickstart

1. Install Skyvern

$
pip install skyvern

2. 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

3. (Optional) Launch the Skyvern Server. Only required in local mode

$
skyvern run server

Examples

Skyvern allows Claude to look up the top Hackernews posts today

Cursor looking up the top programming jobs in your area

Ask Windsurf to do a form 5500 search and download some files

Supported Applications

skyvern init helps configure the following applications for you:

• Cursor
• Windsurf
• Claude Desktop
• Your custom MCP App?

Use the following config if you want to set up Skyvern for any other MCP-enabled application

1
{
2
  "mcpServers": {
3
    "Skyvern": {
4
      "env": {
5
        "SKYVERN_BASE_URL": "https://api.skyvern.com", # "http://localhost:8000" if running locally
6
        "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
7
      },
8
      "command": "PATH_TO_PYTHON",
9
      "args": [
10
        "-m",
11
        "skyvern",
12
        "run",
13
        "mcp"
14
      ]
15
    }
16
  }
17
}