# sight-mcp

> sight-mcp — weiki886-sight-mcp. Use this tool when you need to enable visual capabilities for text-based AI agents, allowing them to process and understand visual information. It solves problems related to limited perception and interaction with visual data, enhancing the agent's ability to comprehend and respond to multimedia inputs. With git capabilities, it integrates seamlessly into existing development workflows, accepting text inputs and generating visual outputs.

Canonical page: https://skillsregistry.net/skills/weiki886-sight-mcp  
JSON: https://api.skillsregistry.net/v1/skills/weiki886-sight-mcp

## Description

让只会读文字的 Agent 拥有视觉能力

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Weiki886/sight-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": "weiki886-sight-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/weiki886-sight-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/weiki886-sight-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