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gyazo-mcp-server

MCP.Pizza Chef: nota

gyazo-mcp-server is a TypeScript-based Model Context Protocol server that integrates Gyazo image services with AI assistants. It exposes Gyazo images as resources with URIs, metadata, and OCR data, and provides tools for searching, fetching, and uploading images. This server enables real-time AI interaction with Gyazo images, supporting various formats and rich metadata access via the Gyazo API.

Use This MCP server To

Search Gyazo images by keyword, title, app, URL, or date range Fetch Gyazo image content and metadata for AI workflows Access OCR data from Gyazo images for text extraction Upload new images to Gyazo via MCP tools Browse and paginate through user Gyazo image captures Integrate Gyazo image context into AI-powered applications

README

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 searching, fetching, and uploading images
  • 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_search - Full-text search for captures uploaded by users on Gyazo

    • Search by keyword, title, app, URL, or date range
    • Supports pagination for browsing multiple results
    • Returns matching image URIs and metadata
  • gyazo_image - Fetch image content and metadata from Gyazo

    • Retrieve specific images by ID or URL
    • Returns both image content and detailed metadata
  • gyazo_latest_image - Fetch the most recent image from Gyazo

    • Returns both image content and metadata
    • Includes OCR text if available
  • gyazo_upload - Upload an image to Gyazo

    • Upload images with base64 encoded image data
    • Add optional metadata like title, description, referer URL, and app name
    • Returns the uploaded image's permalink URL and ID

Installation

NPM Package

The easiest way to install the Gyazo MCP server is via npm:

npm install -g @notainc/gyazo-mcp-server

Prerequisites

  • Create a Gyazo account if you don't have one: https://gyazo.com
  • Get your Gyazo API access token from: https://gyazo.com/api
    • Click "Register applications" button
    • Click "New Application" button
    • Fill in the form with your app name and description
      • Name and Callback URL are required
      • You can use http://localhost for the Callback URL
    • Click "Submit" button
    • Click application name to view details
    • Scroll down to "Your Access Token"
    • Click "Generate" button
    • Copy "Your access token" value
  • 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

Using NPM package (recommended)
{
  "mcpServers": {
    "gyazo-mcp-server": {
      "command": "npx",
      "args": ["@notainc/gyazo-mcp-server"],
      "env": {
        "GYAZO_ACCESS_TOKEN": "your-access-token-here"
      }
    }
  }
}
Using Docker (optional)
{
  "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"
      }
    }
  }
}

Development

Install dependencies:

npm ci

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Docker Build (optional)

npm run image:build

gyazo-mcp-server FAQ

How does gyazo-mcp-server expose Gyazo images to AI models?
It provides Gyazo images as MCP resources with URIs, metadata, and OCR data accessible via the MCP protocol.
What image formats does gyazo-mcp-server support?
It supports common image formats including JPEG and PNG.
Can I search for images using gyazo-mcp-server?
Yes, it includes a gyazo_search tool for full-text search by keyword, title, app, URL, or date range with pagination support.
How does gyazo-mcp-server handle image metadata?
It exposes detailed metadata such as title, description, app, and URL alongside the image content.
Is it possible to upload images through gyazo-mcp-server?
Yes, the server provides tools to upload images to Gyazo directly via MCP.
Does gyazo-mcp-server provide OCR data from images?
Yes, if OCR data is available for an image, it is included as part of the resource metadata.
What programming language is gyazo-mcp-server built with?
It is implemented in TypeScript for robust MCP server functionality.
How does gyazo-mcp-server integrate with AI models?
It uses the MCP protocol to expose Gyazo image data and tools, enabling AI models like GPT-4, Claude, and Gemini to interact with images in real time.