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gyazo-mcp-server

gyazo-mcp-server

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npmjs.comMedia & Design28Updated 19w ago

About gyazo-mcp-server

gyazo-mcp-server is a TypeScript MCP server for Gyazo image integration. It lets AI assistants search, fetch and upload Gyazo captures and requires a Gyazo access token.

Key features

  1. 01Gyazo images exposed as gyazo-mcp:// resources
  2. 02Search by keyword, title, app, URL or date
  3. 03Fetch images by ID or URL
  4. 04Upload base64-encoded images with metadata

Use cases

  1. 01Letting an AI assistant find earlier screenshots
  2. 02Reading the latest capture together with its OCR text
  3. 03Uploading an image to Gyazo and getting a permalink

MCP support

The project is an MCP server that exposes Gyazo images as resources and provides search, fetch and upload tools to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"gyazo-mcp-server-nota": {
"command": "npx",
"args": [
"-y",
"@notainc/gyazo-mcp-server"
],
"env": {
"GYAZO_ACCESS_TOKEN": "<GYAZO_ACCESS_TOKEN>"
}
}
}
}
Run commandnpx -y @notainc/gyazo-mcp-server
Environment variables to set
GYAZO_ACCESS_TOKENSecret

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@notainc/gyazo-mcp-server

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project 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

README image

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.