Turn Your AI Assistant into a Visual Content Powerhouse

Your AI assistant is smart, but it's blind to your massive collection of screenshots, diagrams, and visual documentation scattered across Gyazo. The Gyazo MCP Server changes that by bridging your visual content directly into Claude Desktop and other MCP-compatible AI tools.

Stop Wrestling With Image Workflows

You've been there: copying Gyazo URLs, explaining what's in screenshots, manually uploading images just to get context into your AI conversations. It's tedious, breaks your flow, and wastes time you could spend building.

This MCP server makes your entire Gyazo library instantly searchable and accessible to your AI assistant. No more context switching, no more manual uploads, no more "let me grab that screenshot" interruptions.

What You Actually Get

Instant Visual Search: Ask your AI assistant to find "that API error screenshot from last week" or "the wireframe with the sidebar navigation." Full-text search works across image metadata, OCR content, and titles.

Seamless Upload Integration: Generate images, charts, or screenshots in your workflow and push them directly to Gyazo through your AI assistant. Get shareable links back immediately.

Smart OCR Access: All your screenshots with text become searchable and referenceable. Your AI can read code snippets, error messages, and documentation directly from images.

Resource Management: Access images via clean gyazo-mcp:// URIs that your AI understands natively. No more URL juggling or broken links.

Real-World Implementation

Bug Documentation: "Find all screenshots containing '404 error' from the past month and summarize the common patterns." Your AI pulls relevant images, reads the error messages via OCR, and provides analysis.

Design Reviews: "Show me the latest mockups for the dashboard redesign and compare them to the current implementation." Direct access to visual assets makes design discussions more productive.

Code Documentation: Upload code screenshots or architecture diagrams mid-conversation. Your AI can reference them directly and provide targeted feedback without you explaining what's visible.

Team Communication: Generate visual explanations and instantly get shareable Gyazo links to paste in Slack or tickets.

Integration That Just Works

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

One config change to your Claude Desktop setup. Grab your Gyazo API token, drop it in, and you're done. Your AI now has direct access to your visual content library.

The server handles all the heavy lifting - API calls, image processing, metadata extraction, and OCR integration. You get clean, developer-friendly tools that extend your AI's capabilities without adding complexity to your workflow.

Built by the Gyazo team with proper TypeScript architecture, comprehensive tooling, and the reliability you'd expect from an official integration. This isn't a hack - it's how visual content should work with AI assistants.

Your screenshots and visual documentation are valuable context. Stop leaving them on the sidelines of your AI conversations.