Florence-2

uv Python Application pre-commit GitHub License

MseeP.ai Security Assessment Badge

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 bundle mcp-florence2.mcpb from the Releases page, then open the downloaded .mcpb file or drag it into the Claude Desktop's Settings window.

{
  "mcpServers": {
    "florence-2": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/jkawamoto/mcp-florence2",
        "mcp-florence2"
      ]
    }
  }
}

For more information, see: Connect to local MCP servers - Model Context Protocol.

goose

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.

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.

LM Studio

To configure this server for LM Studio, click the button below.

Add MCP Server florence-2 to LM Studio

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.