hitpaw api mcp server
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"hitpaw-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
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An MCP (Model Context Protocol) server that allows Claude to directly invoke the HitPaw AI photo/video enhancement services.
No automated test available for this server. Check the GitHub README for setup instructions.
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An MCP (Model Context Protocol) server that allows Claude to directly invoke the HitPaw AI photo/video enhancement services.
export HITPAW_API_KEY=your_api_key_here
# Optional:
# export HITPAW_API_BASE_URL=https://api-base.hitpaw.com
npx @hitpaw/mcp-server
npm install -g @hitpaw/mcp-server
hitpaw-mcp-server
git clone https://github.com/hitpaw/mcp-server-hitpaw.git
cd mcp-server-hitpaw
make build
./build/hitpaw-mcp-server
Edit the configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json{
"mcpServers": {
"hitpaw": {
"command": "npx",
"args": ["-y", "@hitpaw/mcp-server"],
"env": {
"HITPAW_API_KEY": "your_api_key_here",
"HITPAW_API_BASE_URL": "https://api-base.hitpaw.com"
}
}
}
}
If built from source, you can point directly to the binary:
{
"mcpServers": {
"hitpaw": {
"command": "/path/to/hitpaw-mcp-server",
"env": {
"HITPAW_API_KEY": "your_api_key_here",
"HITPAW_API_BASE_URL": "https://api-base.hitpaw.com"
}
}
}
}
Restart Claude Desktop after configuration.
Edit ~/.cursor/mcp.json:
{
"mcpServers": {
"hitpaw": {
"command": "npx",
"args": ["-y", "@hitpaw/mcp-server"],
"env": {
"HITPAW_API_KEY": "your_api_key_here",
"HITPAW_API_BASE_URL": "https://api-base.hitpaw.com"
}
}
}
}
| Variable | Required | Default | Description |
|---|---|---|---|
HITPAW_API_KEY | ✅ | - | HitPaw API Key |
HITPAW_API_BASE_URL | ❌ | https://api-base.hitpaw.com | API Service URL |
Chat in Claude:
User: Please enhance this photo https://example.com/photo.jpg
Claude: I'll help you enhance this image. Let me check the available models first...
[Calls list_photo_models]
This photo looks like a portrait, I recommend using the face_2x model to upscale it by 2x.
[Calls photo_enhance(model_name="face_2x", img_url="https://example.com/photo.jpg")]
Task created, task ID is xxx-xxx. Let me check the processing status...
[Calls task_status(job_id="xxx-xxx")]
Processing complete! Here is the link to the enhanced photo: https://...
| Tool Name | Description |
|---|---|
photo_enhance | Photo enhancement/super resolution |
video_enhance | Video enhancement/super resolution |
task_status | Query task status |
oss_transfer | Transfer URL file to OSS |
oss_batch_transfer | Batch transfer URLs to OSS |
list_photo_models | List photo enhancement models |
list_video_models | List video enhancement models |
| Model | Upscale | Description |
|---|---|---|
face_2x | 2x | Portrait clear and soft (beautification effect) |
face_4x | 4x | Portrait clear and soft (beautification effect) |
face_v2_2x | 2x | Portrait natural and realistic (preserves texture) |
face_v2_4x | 4x | Portrait natural and realistic (preserves texture) |
| Model | Upscale | Description |
|---|---|---|
general_2x | 2x | General HD enhancement |
| `general_ |