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    Gyazo Mcp Server

    Official Model Context Protocol server for Gyazo

    24 stars
    TypeScript
    Updated Oct 22, 2025

    Table of Contents

    • Features
    • Resources
    • Tools
    • Installation
    • NPM Package
    • Prerequisites
    • Claude Desktop Integration
    • Using NPM package (recommended)
    • Using Docker (optional)
    • Development
    • Docker Build (optional)

    Table of Contents

    • Features
    • Resources
    • Tools
    • Installation
    • NPM Package
    • Prerequisites
    • Claude Desktop Integration
    • Using NPM package (recommended)
    • Using Docker (optional)
    • Development
    • Docker Build (optional)

    Documentation

    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:

    bash
    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)

    json
    {
      "mcpServers": {
        "gyazo-mcp-server": {
          "command": "npx",
          "args": ["@notainc/gyazo-mcp-server"],
          "env": {
            "GYAZO_ACCESS_TOKEN": "your-access-token-here"
          }
        }
      }
    }

    Using Docker (optional)

    json
    {
      "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:

    bash
    npm ci

    Build the server:

    bash
    npm run build

    For development with auto-rebuild:

    bash
    npm run watch

    Docker Build (optional)

    bash
    npm run image:build

    ---

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