This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
MCP server for Dreamshot AI image and video generation. Use it with Claude Desktop, Claude Code, or any MCP-compatible client.
Sign up at dreamshot.io and get your API key from Settings > API.
Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"dreamshot": {
"command": "npx",
"args": ["@dreamshot/mcp-server"],
"env": {
"DREAMSHOT_API_KEY": "dst_your_key_here"
}
}
}
}Claude Code (.mcp.json):
{
"mcpServers": {
"dreamshot": {
"command": "npx",
"args": ["@dreamshot/mcp-server"],
"env": {
"DREAMSHOT_API_KEY": "dst_your_key_here"
}
}
}
}Ask Claude to generate images or videos:
"Generate a product photo on a marble surface" "Create a 5-second video panning around this product" "Upscale this image to 4K"
Related MCP server: mcp-image
Tool | Description |
| List available tools with variants and credit costs |
| Start an AI generation (returns generationId) |
| Check generation status (pending/completed/failed) |
| Get download URLs for completed generations |
| Check remaining credits |
ai_edit)Edit images using AI with text prompts.
Variant | Credits | Description |
| 1 | Best quality, supports model references |
| 0.5 | Fast iterations |
| 0.5 | Seedream model |
| 0.5 | FLUX-based editing |
| 1 | FLUX 2 Max quality |
| 1.5 | OpenAI GPT Image |
create_video)Generate videos from images and/or text prompts.
Model | Credits | Description |
| 16+ | Latest Veo with audio |
| 4-14 | Kling 2.6 Pro |
| 17 | Kling 3.0 Pro |
| 4-12 | OpenAI Sora 2 |
| 8-24 | OpenAI Sora 2 Pro |
enhancer)Upscale and enhance image quality.
Variant | Credits | Description |
| 2 | General upscaling |
| 3 | Sharp, detailed |
| 4 | Creative enhancement |
generate_image - Generate from trained models
create_anything - Text-to-image with FLUX
Run dreamshot_list_tools to see all available tools and current pricing.
1. Check credits
→ dreamshot_credits()
2. Start generation
→ dreamshot_generate(
tool: "ai_edit",
variant: "ultra",
prompt: "luxury perfume on marble",
imageUrls: ["https://..."]
)
→ Returns: { generationId: "abc123" }
3. Poll status
→ dreamshot_status(generationId: "abc123")
→ Returns: { status: "pending" }
4. Poll again
→ dreamshot_status(generationId: "abc123")
→ Returns: { status: "completed", mediaItems: [...] }
5. Get download URLs
→ dreamshot_media(generationId: "abc123")
→ Returns: { media: [{ downloadUrl: "..." }] }Variable | Required | Description |
| Yes | Your Dreamshot API key ( |
| No | Custom API URL (defaults to |
# Install dependencies
npm install
# Run in development mode
npm run dev
# Build
npm run build
# Run built version
npm startDreamshot - AI photo generation platform
MIT
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