Goodeye
Design, save, and run outcome-aligned AI workflows and verifiers, with reliable image output.
Install Goodeye in your MCP client
Goodeye is a Model Context Protocol server. Add it to your MCP client config once, restart, and the server's tools become available to your AI assistant. The same JSON snippet below works across all four major clients — only the config file path differs.
- Locate your client's MCP config file.
- Cursor:
~/.cursor/mcp.json - Claude Desktop (macOS):
~/Library/Application Support/Claude/claude_desktop_config.json - Claude Desktop (Windows):
%APPDATA%\Claude\claude_desktop_config.json - VS Code:
Settings → Extensions → MCP - Windsurf:
Settings → MCP Servers
- Cursor:
- Add Goodeye to the mcpServers map — paste the snippet below into your config file. If you already have other MCP servers, merge the entry into the existing
mcpServersobject. - Restart your client so it picks up the new server.
- Verify — ask the assistant to list available tools; Goodeye's tools should appear.
{
"mcpServers": {
"goodeye": {
"command": "npx",
"args": [
"-y",
"@goodeye/mcp-server"
],
"note": "Replace with the actual package name from the server's documentation."
}
}
}Install Goodeye in Cursor
Open ~/.cursor/mcp.json in your editor, paste the snippet above into mcpServers, save, and restart Cursor. Goodeye will show up in the assistant's tool list on next launch.
Install Goodeye in Claude Desktop (macOS)
Open ~/Library/Application Support/Claude/claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (macOS). Goodeye will show up in the assistant's tool list on next launch.
Install Goodeye in Claude Desktop (Windows)
Open %APPDATA%\Claude\claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (Windows). Goodeye will show up in the assistant's tool list on next launch.
Install Goodeye in VS Code
Open Settings → Extensions → MCP in your editor, paste the snippet above into mcpServers, save, and restart VS Code. Goodeye will show up in the assistant's tool list on next launch.
Transport
Goodeye supports the following MCP transports. Most AI clients use stdio by default for locally-installed servers.
More build.protocol_tooling.mcp MCP servers
Other Model Context Protocol servers in the same space as Goodeye. Each one adds different capabilities to your AI assistant — pick based on the data sources or workflows you need.
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Browse the full MCP server directory or use Stork's one-line install to let your agent pick the right server automatically.