# findme-mcp

> findme-mcp — findmephoto-findme-mcp. Use this tool when you need to create and manage wedding galleries, upload photos, and track analytics using natural language inputs. It solves problems related to photo management and analytics retrieval for wedding events, allowing users to upload photos from local files or URLs and retrieve QR codes. The tool accepts natural language commands as input and outputs gallery links, analytics, and QR codes.

Canonical page: https://skillsregistry.net/skills/findmephoto-findme-mcp  
JSON: https://api.skillsregistry.net/v1/skills/findmephoto-findme-mcp

## Description

Enables AI clients to create and manage FindMe Photo wedding galleries, upload photos from local files or URLs, and retrieve analytics and QR codes using natural language.

## Trust

- **Trust score (0–1):** 0.69
- **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/qnsp9tdt3u)
- **Repository:** <https://github.com/findmephoto/findme-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": "findmephoto-findme-mcp"
    }
  }
}
```

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