MCP Florence2

An MCP server for processing images using Florence-2

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "mcp-florence2": {
      "command": "uvx",
      "args": [
        "args"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Florence-2 MCP Server

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.

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:

config.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: Connect to local MCP servers - Model Context Protocol.

goose

Open this link

Code

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:

yaml

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.

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 file for more details.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about MCP Florence2

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mcp-florence2": { "command": "npx", "args": ["-y", "mcp-florence2"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

36Quality signal: Fair · 36/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools14/30

Adoption & activity3/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to MCP Florence2 →Install in Claude Desktop Install in Cursor Install in VS Code

MCP Florence2

An MCP server for processing images using Florence-2

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "mcp-florence2": {
      "command": "uvx",
      "args": [
        "args"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Florence-2 MCP Server

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.

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:

config.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: Connect to local MCP servers - Model Context Protocol.

goose

Open this link

Code

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:

yaml

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.

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 file for more details.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about MCP Florence2

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mcp-florence2": { "command": "npx", "args": ["-y", "mcp-florence2"] } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/mcp-florence2?style=directory)](https://allmcps.com/mcp/mcp-florence2)

HTML Embed

<a href="https://allmcps.com/mcp/mcp-florence2"><img src="https://allmcps.com/api/badge/mcp-florence2?style=directory" alt="MCP Florence2 on AllMCPs" /></a>

Technical Specs & Signals

CategoryDeveloper Tools

36Quality signal: Fair · 36/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools14/30

Adoption & activity3/15

Community engagement0/10

★ Featured

AllMCPs Server

Explore Server →

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to MCP Florence2 →Install in Claude Desktop Install in Cursor Install in VS Code