# Cursor Feedback MCP

> Use this tool when you need to enhance user interactions with visual context and feedback. It solves problems of limited communication by allowing users to paste images for more detailed and accurate feedback. The tool accepts image inputs and provides interactive feedback outputs, ideal for use cases requiring visual clarification and discussion.

Canonical page: https://skillsregistry.net/skills/phidn-cursor-feedback  
JSON: https://api.skillsregistry.net/v1/skills/phidn-cursor-feedback

## Description

Enables interactive feedback with image support in Cursor, allowing users to paste images for visual context and feedback.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-05-26

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d24p2cu9pl)
- **Repository:** <https://github.com/phidn/cursor-feedback>

## 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": "phidn-cursor-feedback"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/phidn-cursor-feedback` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/phidn-cursor-feedback/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
