An MCP server for processing images using Florence-2
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# Florence-2 MCP Server [](https://github.com/jkawamoto/mcp-florence2/actions/workflows/python-app.yaml) [](https://github.com/jkawamoto/mcp-florence2/blob/main/LICENSE) [](https://github.com/pre-commit/pre-commit) [](https://github.com/astral-sh/ruff) [](https://mseep.ai/app/jkawamoto-mcp-florence2) An MCP server for processing images using [Florence-2](https://huggingface.co/microsoft/Florence-2-large). 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 Download the latest MCP bundle `mcp-florence2.mcpb` from the [Releases](https://github.com/jkawamoto/mcp-florence2/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`: ```json { "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](https://modelcontextprotocol.io/quickstart/user). ### For Goose CLI To enable the Bear extension in Goose CLI, edit the configuration file …
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