# videre-mcp

> videre-mcp — veedubin-videre-mcp. Use this tool when you need to integrate vision capabilities into text-based coding models, enabling them to describe images, extract text, and analyze screenshots. It bridges the gap between vision models and non-vision large language models (LLMs) using Florence-2 and MCP tools. Ideal for applications requiring image analysis and text extraction, such as automated content moderation or data extraction from visual sources.

Canonical page: https://skillsregistry.net/skills/veedubin-videre-mcp  
JSON: https://api.skillsregistry.net/v1/skills/veedubin-videre-mcp

## Description

Bridges vision models to text-only coding models using Florence-2, enabling non-vision LLMs to describe images, extract text, and analyze screenshots via MCP tools.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/en9vy4l0zg)
- **Repository:** <https://github.com/Veedubin/Videre-MCP>

## 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": "veedubin-videre-mcp"
    }
  }
}
```

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