Metatag Genie

Created By

terryso7 months ago

一个基于 Node.js 和 TypeScript 的 MCP 服务，用于读写图片元数据

Overview

what is MetaTag Genie?

MetaTag Genie is a macOS Stdio MCP service designed for writing image metadata to enhance Spotlight search. It can be called by AI agents or other applications that need local management of image metadata, providing an interface compliant with the Machine Comprehension Protocol (MCP).

how to use MetaTag Genie?

To use MetaTag Genie, you can install it globally via npm or use npx to run it directly without installation. It communicates through standard input/output (Stdio) with clients, waiting for JSON-RPC messages.

key features of MetaTag Genie?

Exposes an MCP-compliant service via Stdio
Provides the writeImageMetadata MCP Tool
Supports writing metadata to JPG, PNG, and HEIC images
Metadata types supported: Tags, Description, People, Location
Written metadata can be searched by macOS Spotlight

use cases of MetaTag Genie?

Enhancing image searchability in macOS Spotlight by adding relevant metadata.
Integrating with AI agents to automate metadata management for images.
Assisting developers in managing image metadata for applications that require local metadata handling.

FAQ from MetaTag Genie?

Can MetaTag Genie write metadata for all image formats?

Yes! It supports JPG, PNG, and HEIC formats.

Is MetaTag Genie free to use?

Yes! It is open-source and free to use.

How does MetaTag Genie communicate with clients?

It uses standard input/output (Stdio) to communicate via JSON-RPC 2.0 protocol.

Server Config

{
  "mcpServers": {
    "MetaTagGenie": {
      "command": "npx",
      "args": [
        "-y",
        "metatag-genie"
      ]
    }
  }
}

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