Model Context Protocol (MCP) Clients

If you haven’t installed Wassette yet, follow the installation instructions first.

Visual Studio Code

Add the Wassette MCP Server to GitHub Copilot in Visual Studio Code by clicking the Install in VS Code or Install in VS Code Insiders badge below:

Alternatively, you can add the Wassete MCP server to VS Code from the command line using the code command in a bash/zsh or PowerShell terminal:

bash/zsh

code --add-mcp '{"name":"Wassette","command":"wassette","args":["serve","--stdio"]}'

PowerShell

 code --% --add-mcp "{\"name\":\"wassette\",\"command\":\"wassette\",\"args\":[\"serve\",\"--stdio\"]}"

You can list and configure MCP servers in VS Code by running the command MCP: List Servers in the command palette (Ctrl+Shift+P or Cmd+Shift+P).

Cursor

Click the below button to use the one-click installation to add Wassette to Cursor.

Claude Code

First, install Claude Code (requires Node.js 18 or higher):

npm install -g @anthropic-ai/claude-code

Add the Wassette MCP server to Claude Code using the following command:

claude mcp add -- wassette wassette serve --stdio

This will configure the Wassette MCP server as a local stdio server that Claude Code can use to execute Wassette commands and interact with your data infrastructure.

You can verify the installation by running:

claude mcp list

To remove the server if needed:

claude mcp remove wassette

Gemini CLI

First, install Gemini CLI (requires Node.js 20 or higher):

npm install -g @google/gemini-cli

To add the Wassette MCP server to Gemini CLI, you need to configure it in your settings file at ~/.gemini/settings.json. Create or edit this file to include:

{
  "mcpServers": {
    "wassette": {
      "command": "wassette",
      "args": ["serve", "--stdio"]
    }
  }
}

Quit the Gemini CLI and reopen it.

Open Gemini CLI and verify the installation by running /mcp inside of Gemini CLI.

Wassette Documentation