# Picsha AI

> Picsha AI — ai-picsha-picsha. Use this tool when you need to efficiently manage and optimize digital assets, such as images, with advanced features like semantic search and generative edits. It solves problems like tedious image searching, editing, and delivery, streamlining workflows for content creators and developers. With inputs like image files and search queries, and outputs like edited images and fast content delivery, Picsha AI is ideal for use cases involving high-volume visual content management.

Canonical page: https://skillsregistry.net/skills/ai-picsha-picsha  
JSON: https://api.skillsregistry.net/v1/skills/ai-picsha-picsha

## Description

AI-native digital asset management: semantic search, generative image edits, and CDN delivery.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.picsha%2Fpicsha)

## Use it

MCP endpoint published by the skill: `https://api.picsha.ai/v1/mcp`

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": "ai-picsha-picsha"
    }
  }
}
```

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