Florence-2 MCP Server
BasicFlorence-2 MCP Server is a server designed for processing images using the Florence-2 model, which is capable of performing various image processing tasks. It provides capabilities such as Optical Character Recognition (OCR) and image caption generation.
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Overview
Florence-2 MCP Server is a server designed for processing images using the Florence-2 model, which is capable of performing various image processing tasks. It provides capabilities such as Optical Character Recognition (OCR) and image caption generation.
Installation
1Install the package
npx
uvx --from git+https://github.com/jkawamoto/mcp-florence2 mcp-florence22Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"florence-2-mcp-server": {
"command": "npx",
"args": [
"-y",
"uvx --from git+https://github.com/jkawamoto/mcp-florence2 mcp-florence2"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from Florence-2 MCP Server?"
Prerequisites
- Node.js 18 or higher
- npm or npx available
- Claude Desktop or Claude API access
Configuration
No configuration required. This server works out of the box.
Usage Examples
List Resources
"What resources are available in Florence-2 MCP Server?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in Florence-2 MCP Server"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in Florence-2 MCP Server with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
Works with Florence-2 MCP Server
Character.AI
AI roleplay platform with persistent memory and fine-tuned characters
Rubii: AI Character Community
Custom AI characters and generative art for creators
Caption Services
Infrastructure technology and compliance for non-listed investments
Image Caption Generator
Generate and customize captions for your images effortlessly.
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