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Florence-2 MCP Server

uv Python Application pre-commit GitHub License

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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.

Installation

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.

Manually configuration

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.

Manually configuration

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.

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.

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