gyazo-mcp-server

A Model Context Protocol server for Gyazo image integration

This is a TypeScript-based MCP server that provides access to Gyazo images. It allows AI assistants to access and interact with Gyazo images through the Model Context Protocol, providing:

• Resources representing Gyazo images with URIs and metadata
• Tools for fetching the latest image
• Image content and metadata access via the Gyazo API

Features

Resources

• List and access Gyazo images via gyazo-mcp:// URIs
• Each image includes:
  • Original image content
  • Metadata (title, description, app, URL)
  • OCR data (if available)
• Supports various image formats (JPEG, PNG, etc.)

Tools

• gyazo_latest_image - Fetch the most recent image from Gyazo
  • Returns both image content and metadata
  • Includes OCR text if available

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Docker

npm run image:build

Installation

Prerequisites

1. Create a Gyazo account if you don't have one: https://gyazo.com
2. Get your Gyazo API access token from: https://gyazo.com/api
3. Set the GYAZO_ACCESS_TOKEN environment variable with your token

Claude Desktop Integration

To use with Claude Desktop, add the server config:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "gyazo-mcp-server": {
      "command": "/path/to/gyazo-mcp-server/build/index.js",
      "env": {
        "GYAZO_ACCESS_TOKEN": "your-access-token-here"
      }
    }
  }
}

Docker

{
  "mcpServers": {
    "gyazo-mcp-server": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "GYAZO_ACCESS_TOKEN",
        "gyazo-mcp-server"
      ],
      "env": {
        "GYAZO_ACCESS_TOKEN": "your-access-token-here"
      }
    }
  }
}

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.

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