~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"mcp-image": {
"command": "npx",
"args": [
"-y",
"mcp-image"
],
"env": {
"GEMINI_API_KEY": "<from aistudio.google.com/apikey>",
"IMAGE_OUTPUT_DIR": "/absolute/path/to/images"
}
}
}
}
Claude Desktop → Settings → Developer → Edit Config を開く。保存後、アプリを再起動。
~/.cursor/mcp.json · .cursor/mcp.json
{
"mcpServers": {
"mcp-image": {
"command": "npx",
"args": [
"-y",
"mcp-image"
],
"env": {
"GEMINI_API_KEY": "<from aistudio.google.com/apikey>",
"IMAGE_OUTPUT_DIR": "/absolute/path/to/images"
}
}
}
}
Cursor は Claude Desktop と同じ mcpServers スキーマを使用。プロジェクト設定はグローバルより優先。
VS Code → Cline → MCP Servers → Edit
{
"mcpServers": {
"mcp-image": {
"command": "npx",
"args": [
"-y",
"mcp-image"
],
"env": {
"GEMINI_API_KEY": "<from aistudio.google.com/apikey>",
"IMAGE_OUTPUT_DIR": "/absolute/path/to/images"
}
}
}
}
Cline サイドバーの MCP Servers アイコンをクリックし、"Edit Configuration" を選択。
~/.codeium/windsurf/mcp_config.json
{
"mcpServers": {
"mcp-image": {
"command": "npx",
"args": [
"-y",
"mcp-image"
],
"env": {
"GEMINI_API_KEY": "<from aistudio.google.com/apikey>",
"IMAGE_OUTPUT_DIR": "/absolute/path/to/images"
}
}
}
}
Claude Desktop と同じ形式。Windsurf を再起動して反映。
~/.continue/config.json
{
"mcpServers": [
{
"name": "mcp-image",
"command": "npx",
"args": [
"-y",
"mcp-image"
]
}
]
}
Continue はマップではなくサーバーオブジェクトの配列を使用。
~/.config/zed/settings.json
{
"context_servers": {
"mcp-image": {
"command": {
"path": "npx",
"args": [
"-y",
"mcp-image"
]
}
}
}
}
context_servers に追加。保存時に Zed がホットリロード。
claude mcp add mcp-image -- npx -y mcp-image
ワンライナー。claude mcp list で確認、claude mcp remove で削除。