Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"gyazo-mcp-server": {
"env": {
"GYAZO_ACCESS_TOKEN": "your-access-token-here"
},
"args": [
"@notainc/gyazo-mcp-server"
],
"command": "npx"
}
}
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A Model Context Protocol server for Gyazo image integration
This server supports HTTP transport. Be the first to test it — help the community know if it works.
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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:
gyazo-mcp:// URIsgyazo_search - Full-text search for captures uploaded by users on Gyazo
gyazo_image - Fetch image content and metadata from Gyazo
gyazo_latest_image - Fetch the most recent image from Gyazo
gyazo_upload - Upload an image to Gyazo
The easiest way to install the Gyazo MCP server is via npm:
npm install -g @notainc/gyazo-mcp-server
http://localhost for the Callback URLGYAZO_ACCESS_TOKEN environment variable with your tokenTo 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
{
"mcpServers": {
"gyazo-mcp-server": {
"command": "npx",
"args": ["@notainc/gyazo-mcp-server"],
"env": {
"GYAZO_ACCESS_TOKEN": "your-access-token-here"
}
}
}
}
{
"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"
}
}
}
}
Install dependencies:
npm ci
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
npm run image:build