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- mcp-florence2
Mcp Florence2
What is Mcp Florence2
mcp-florence2 is an MCP server designed for processing images using the Florence-2 model, enabling functionalities such as Optical Character Recognition (OCR) and image caption generation.
Use cases
Use cases for mcp-florence2 include extracting text from scanned documents, generating captions for images in media applications, and enhancing accessibility by providing text descriptions for visual content.
How to use
To use mcp-florence2, configure it in your application (Claude Desktop or Goose CLI) by editing the respective configuration files to include the server details. After configuration, restart the application to start processing images or PDF files.
Key features
Key features of mcp-florence2 include OCR capabilities for text extraction from images and PDF files, and the ability to generate descriptive captions for images.
Where to use
mcp-florence2 can be used in various fields including document processing, content generation, accessibility services, and any application requiring image analysis.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Florence2
mcp-florence2 is an MCP server designed for processing images using the Florence-2 model, enabling functionalities such as Optical Character Recognition (OCR) and image caption generation.
Use cases
Use cases for mcp-florence2 include extracting text from scanned documents, generating captions for images in media applications, and enhancing accessibility by providing text descriptions for visual content.
How to use
To use mcp-florence2, configure it in your application (Claude Desktop or Goose CLI) by editing the respective configuration files to include the server details. After configuration, restart the application to start processing images or PDF files.
Key features
Key features of mcp-florence2 include OCR capabilities for text extraction from images and PDF files, and the ability to generate descriptive captions for images.
Where to use
mcp-florence2 can be used in various fields including document processing, content generation, accessibility services, and any application requiring image analysis.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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
For Claude Desktop
To configure this server for Claude Desktop, edit the claude_desktop_config.json file with 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.
For more information,
see: For Claude Desktop Users - Model Context Protocol.
For Goose CLI
To enable the Bear extension in Goose CLI,
edit the configuration file ~/.config/goose/config.yaml to include the following entry:
extensions:
bear:
name: Florence-2
cmd: uvx
args: [ --from, git+https://github.com/jkawamoto/mcp-florence2, mcp-florence2 ]
enabled: true
type: stdio
For Goose Desktop
Add a new extension with the following settings:
- Type: Standard IO
- ID: florence-2
- Name: Florence-2
- Description: An MCP server for processing images using Florence-2
- Command:
uvx --from git+https://github.com/jkawamoto/mcp-florence2 mcp-florence2
For more details on configuring MCP servers in Goose Desktop,
refer to the documentation:
Using Extensions - MCP Servers.
Tools
ocr
Process an image file or URL using OCR to extract text.
Arguments:
- src: A file path or URL to the image file that needs to be processed.
caption
Processes an image file and generates captions for the image.
Arguments:
- src: A file path or URL to the image file that needs to be processed.
License
This application is licensed under the MIT License. See the LICENSE file for more details.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










