I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

mcp-florence2
An MCP server for processing images using Florence-2
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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.
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Reviews

user_ul6KfXeH
As a dedicated user of mcp-florence2, I am thoroughly impressed by its seamless functionality and robust performance. Created by jkawamoto, this tool proves to be an invaluable asset in my workflow. With its intuitive user interface and comprehensive features, it simplifies complex tasks efficiently. I highly recommend mcp-florence2 to anyone seeking a reliable and versatile solution for their needs.