Florence-2
About
Integrates with Florence-2 to enable advanced image analysis and manipulation tasks like visual question answering, image captioning, and content-based image retrieval.
Details
- Author
- jkawamoto
- Repository
- jkawamoto/mcp-florence2
- GitHub stars
- 4
- Downloads
- 199
- License
- MIT License
- Categories
- Productivity, Developer Tools, Design, AI, Media, Project Management, Frontend, Infrastructure, Other
- Tags
- #integration
Jump to
- OCR for text extraction from images and PDFs
- Image caption generation
- Supports local file paths and remote URLs as input
- Easy one‑click installs for Claude, Goose, and LM Studio
- Runs via uvx for reproducible Python environments
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Florence-2Command (node, npx, python, etc.)uvxArguments-
Argument 1
--from -
Argument 2
git+https://github.com/jkawamoto/mcp-florence2 -
Argument 3
mcp-florence2
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install via the pre-built .mcpb bundle (for Claude Desktop) or by adding manual configuration entries to the claude_desktop_config.json, Goose config.yaml, or LM Studio MCP settings. All configurations use uvx to run the server from the Git repository. The server exposes two tools: ocr (extract text) and caption (generate captions), both accepting a src argument (file path or URL).
ocr
Process an image file or URL using OCR to extract text. Arguments: src (file path or URL to the image file)
caption
Processes an image file and generates captions for the image. Arguments: src (file path or URL to the image file)
process
Processes an image file with a custom prompt using the Florence-2 model. Arguments: src (file path or URL to the image file), prompt (custom prompt for the Florence-2 model)
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"florence-2": {
"cwd": "string",
"env": {},
"args": [
"--from",
"git+https://github.com/jkawamoto/mcp-florence2",
"mcp-florence2"
],
"shell": false,
"command": "uvx"
}
}
}Linux
{
"cwd": "string",
"env": [],
"args": [
"--from",
"git+https://github.com/jkawamoto/mcp-florence2",
"mcp-florence2"
],
"shell": false,
"command": "uvx"
}Macos
{
"cwd": "string",
"env": [],
"args": [
"--from",
"git+https://github.com/jkawamoto/mcp-florence2",
"mcp-florence2"
],
"shell": false,
"command": "uvx"
}Windows
{
"cwd": "string",
"env": [],
"args": [
"--from",
"git+https://github.com/jkawamoto/mcp-florence2",
"mcp-florence2"
],
"shell": false,
"command": "uvx"
}Florence-2 MCP Server
An MCP server for processing images using Florence-2.
You can process images or PDF files stored on a local or web server to extract text using OCR (Optical Character
Recognition) or generate descriptive captions summarizing the content of the images.
Installation
Claude
Download the latest MCP bundlemcp-florence2.mcpb from
the Releases page,
then open the downloaded .mcpb file or drag it into the Claude Desktop's Settings window.
<details>
<summary>Manually configuration</summary>
You can also manually configure this server for Claude Desktop.
Edit the claude_desktop_config.json file by adding the following entry under mcpServers:
{
"mcpServers": {
"florence-2": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/jkawamoto/mcp-florence2",
"mcp-florence2"
]
}
}
}
After editing, restart the application.
</details>
For more information,
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