# Lens

> Use this tool when you need to automate visual feedback and QA assertions on web pages, enabling real-time annotation and resolution. Lens provides a server for AI agents to read, reply, and resolve annotations, streamlining video direction and feedback processes. It accepts web page inputs and outputs annotated feedback, ideal for use cases requiring rapid and accurate visual verification.

Canonical page: https://skillsregistry.net/skills/renderdraw-lens  
JSON: https://api.skillsregistry.net/v1/skills/renderdraw-lens

## Description

MCP server for visual feedback, video direction, and QA assertions on web pages, enabling AI agents to read, reply, and resolve annotations in real time.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oa799udxft)
- **Repository:** <https://github.com/renderdraw/lens>

## 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": "renderdraw-lens"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/renderdraw-lens` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/renderdraw-lens/pull`

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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