SKILLS/image-generation-qwen/mcp_server/qwen_image_mcp.py

162 lines
5.2 KiB
Python

#!/usr/bin/env python3
"""
Qwen Image Generation MCP Server
Provides image generation via Qwen (DashScope) API
"""
import os
import requests
from urllib.parse import urlparse
from mcp.server.fastmcp import FastMCP
# Initialize MCP server
mcp = FastMCP("qwen-image-generator")
@mcp.tool()
def generate_image(
prompt: str,
negative_prompt: str | None = None,
prompt_extend: bool = True,
size: str = "1024*1024",
n: int = 1,
image_url: str | None = None,
output_path: str | None = None
) -> str:
"""
Generate images using Qwen (通义千问) image generation API.
Args:
prompt: The image generation prompt describing what to generate (max 800 chars)
negative_prompt: Negative prompt to avoid certain elements (max 500 chars)
prompt_extend: Enable prompt extend to enhance the prompt (default: true)
watermark: Add watermark to generated image (default: false)
size: Image resolution. Options: 1024*1024 (1:1), 1344*768 (16:9), 768*1344 (9:16), 1184*864 (4:3), 864*1184 (3:4)
n: Number of images to generate, 1-6 (default: 1)
image_url: Optional reference image URL for image-to-image generation
output_path: Optional local path to save the generated image
Returns:
Image URLs and generation status
"""
api_key = os.environ.get("DASHSCOPE_API_KEY", "")
api_base = "https://dashscope.aliyuncs.com"
if not api_key:
return "Error: DASHSCOPE_API_KEY environment variable is not set"
# Build content array
content = [{"text": prompt}]
# Add reference image if provided
if image_url:
content.append({"image_url": {"url": image_url}})
# Build parameters dict
parameters = {
"prompt_extend": prompt_extend,
"size": size,
"n": n
}
# Only add negative_prompt if provided
if negative_prompt:
parameters["negative_prompt"] = negative_prompt
# Build request payload
payload = {
"model": "qwen-image-2.0-pro",
"input": {
"messages": [
{
"role": "user",
"content": content
}
]
},
"parameters": parameters
}
# Make API request
url = f"{api_base}/api/v1/services/aigc/multimodal-generation/generation"
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
try:
response = requests.post(url, headers=headers, json=payload, timeout=180)
response.raise_for_status()
result = response.json()
# Check for API errors
if "error" in result:
error_msg = result.get("error", {}).get("message", "Unknown error")
return f"API Error: {error_msg}"
# Parse response
choices = result.get("output", {}).get("choices", [])
usage = result.get("usage", {})
# Extract image URLs
image_urls = []
for choice in choices:
message = choice.get("message", {})
content_items = message.get("content", [])
for item in content_items:
if "image" in item:
image_urls.append(item["image"])
width = usage.get("width", 1024)
height = usage.get("height", 1024)
request_id = result.get("request_id", "N/A")
# Save image if output_path provided
saved_path = None
if output_path and image_urls:
try:
img_response = requests.get(image_urls[0], timeout=30)
img_response.raise_for_status()
# Determine file extension
parsed = urlparse(image_urls[0])
ext = os.path.splitext(parsed.path)[1] if "." in parsed.path else ".png"
if not ext or len(ext) > 5:
ext = ".png"
# Ensure directory exists
os.makedirs(os.path.dirname(output_path) if os.path.dirname(output_path) else ".", exist_ok=True)
# Add extension if not present
if not output_path.endswith(ext):
output_path = output_path + ext
with open(output_path, "wb") as f:
f.write(img_response.content)
saved_path = os.path.abspath(output_path)
except Exception as e:
return f"Failed to save image: {str(e)}"
# Build response
response_text = f"Successfully generated {n} image(s) ({width}x{height})\n\n"
response_text += f"Request ID: {request_id}\n\n"
if saved_path:
response_text += f"Saved to: {saved_path}\n\n"
response_text += "Image URLs:\n"
for i, img_url in enumerate(image_urls, 1):
response_text += f" {i}. {img_url}\n"
return response_text
except requests.exceptions.RequestException as e:
return f"Request Error: {str(e)}"
except Exception as e:
return f"Unexpected Error: {str(e)}"
if __name__ == "__main__":
mcp.run()