# VisionSieve MCP

> VisionSieve MCP — scy7796-visionsieve-mcp. Use this tool when you need to efficiently analyze images and extract relevant information, reducing visual context by ~90% while preserving key fields. The VisionSieve MCP enables text-first agents to inspect images via focused questions, returning compact evidence packets. Ideal for use cases where visual data needs to be quickly and accurately assessed, such as image classification, object detection, or content moderation.

Canonical page: https://skillsregistry.net/skills/scy7796-visionsieve-mcp  
JSON: https://api.skillsregistry.net/v1/skills/scy7796-visionsieve-mcp

## Description

Enables text-first agents to inspect images via focused questions, returning compact, checked evidence packets. Reduces visual context by ~90% while preserving expected fields.

## Trust

- **Trust score (0–1):** 0.33
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e02j70vrsd)
- **Repository:** <https://github.com/scy7796/visionsieve-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": "scy7796-visionsieve-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/scy7796-visionsieve-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/scy7796-visionsieve-mcp/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