Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"florence-2": {
"args": [
"--from",
"git+https://github.com/jkawamoto/mcp-florence2",
"mcp-florence2"
],
"command": "uvx"
}
}
}Are you the author?
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An MCP server for processing images using Florence-2.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'args' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked args against OSV.dev.
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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.
Download the latest MCP bundle mcp-florence2.mcpb from
the Releases page,
then open the downloaded .mcpb file or drag it into the Claude Desktop's Settings window.
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.
For more information, see: Connect to local MCP servers - Model Context Protocol.
Open this link
goose://extension?cmd=uvx&arg=--from&arg=git%2Bhttps%3A%2F%2Fgithub.com%2Fjkawamoto%2Fmcp-florence2&arg=mcp-florence2&id=florence2&name=Florence-2&description=An%20MCP%20server%20for%20processing%20images%20using%20Florence-2
to launch the installer, then click "Yes" to confirm the installation.
You can also directly edit the config file (~/.config/goose/config.yaml) to include the following entry:
extensions:
florence2:
name: Florence-2
cmd: uvx
args: [ --from, git+https://github.com/jkawamoto/mcp-florence2, mcp-florence2 ]
enabled: true
type: stdio
For more details on configuring MCP servers in Goose, refer to the documentation: Using Extensions | goose.
To configure this server for LM Studio, click the button below.
Process an image file or URL using OCR to extract text.
Processes an image file and generates captions for the image.
This application is licensed under the MIT License. See the LICENSE file for more details.