Gyazo MCP Server

# 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: ```bash npm install ``` Build the server: ```bash npm run build ``` For development with auto-rebuild: ```bash npm run watch ``` ### Docker ```bash 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` ```json { "mcpServers": { "gyazo-mcp-server": { "command": "/path/to/gyazo-mcp-server/build/index.js", "env": { "GYAZO_ACCESS_TOKEN": "your-access-token-here" } } } } ``` #### Docker ```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" } } } } ``` ### Debugging Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector), which is available as a package script: ```bash npm run inspector ``` The Inspector will provide a URL to access debugging tools in your browser. --- <a href="https://glama.ai/mcp/servers/bhrk879agk"> <img width="380" height="200" src="https://glama.ai/mcp/servers/bhrk879agk/badge" /> </a>