mcp-florence2

# Florence-2 MCP Server [](https://github.com/astral-sh/uv) [](https://github.com/jkawamoto/mcp-florence2/actions/workflows/python-app.yaml) [](https://github.com/pre-commit/pre-commit) [](https://github.com/jkawamoto/mcp-florence2/blob/main/LICENSE) [](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 ### [Claude](https://claude.com/download) 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. <details> <summary>Manually configuration</summary> 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. </details> For more information, see: [Connect to local MCP servers - Model Context Protocol](https://modelcontextprotocol.io/docs/develop/connect-local-servers). ### [goose](https://block.github.io/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. <details> <summary>Manually configuration</summary> You can also directly edit the config file (`~/.config/goose/config.yaml`) to include the following entry: ```yaml extensions: florence2: name: Florence-2 cmd: uvx args: [ --from, git+https://github.com/jkawamoto/mcp-florence2, mcp-florence2 ] enabled: true type: stdio ``` </details> For more details on configuring MCP servers in Goose, refer to the documentation: [Using Extensions | goose](https://block.github.io/goose/docs/getting-started/using-extensions#mcp-servers). ### [LM Studio](https://lmstudio.ai/) To configure this server for LM Studio, click the button below. [](https://lmstudio.ai/install-mcp?name=florence-2&config=eyJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyItLWZyb20iLCJnaXQraHR0cHM6Ly9naXRodWIuY29tL2prYXdhbW90by9tY3AtZmxvcmVuY2UyIiwibWNwLWZsb3JlbmNlMiJdfQ%3D%3D) ## 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. ### process Processes an image file with a custom prompt using the Florence-2 model. #### Arguments: - **src**: A file path or URL to the image file that needs to be processed. - **prompt**: A custom prompt for the Florence-2 model. ## License This application is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.