# mcp-florence2

> mcp-florence2 — jkawamoto-mcp-florence2. Use this tool when you need to process images using the Florence-2 model, as it provides an MCP server for efficient image processing, accepting image inputs and producing processed outputs, ideal for applications requiring advanced computer vision capabilities, such as image analysis or object detection. It integrates with git for version control and collaboration. This tool is suitable for use cases involving large-scale image processing tasks.

Canonical page: https://skillsregistry.net/skills/jkawamoto-mcp-florence2  
JSON: https://api.skillsregistry.net/v1/skills/jkawamoto-mcp-florence2

## Description

An MCP server for processing images using Florence-2

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** media
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/jkawamoto/mcp-florence2)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jkawamoto-mcp-florence2"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jkawamoto-mcp-florence2` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jkawamoto-mcp-florence2/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt