# io.github.prasadabhishek/photographi-mcp

> Use this tool when you need to analyze and organize photo libraries using computer vision, as it provides a local engine for visual intelligence tasks, solving problems such as image classification and tagging, with inputs of photo collections and outputs of categorized and searchable libraries, ideal for use cases where cloud-based services are not feasible. It enables users to efficiently manage and retrieve photos based on visual content. This tool is particularly useful for applications requiring private and localized image analysis.

Canonical page: https://skillsregistry.net/skills/io-github-prasadabhishek-photographi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-prasadabhishek-photographi-mcp

## Description

Visual Intelligence Command Center: A Local Computer Vision Engine for Photo Libraries

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.2.6
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-04-17

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.prasadabhishek%2Fphotographi-mcp)
- **Repository:** <https://github.com/prasadabhishek/photographi-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": "io-github-prasadabhishek-photographi-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-prasadabhishek-photographi-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-prasadabhishek-photographi-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