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:

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

Quickstart

⚠️ 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
```

Examples

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

{
  "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"
      ]
    }
  }
}

Model Context Protocol (MCP)

Quickstart

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