image_compress — image resize convert compress watermark MCP Tool
image_compress
(image compress) is one of 15 tools on the
image resize convert compress watermark
MCP server. Connect the server and your client discovers it on the handshake.
by client
How to call image_compress from your client
- Claude Code image resize convert compress watermark image_compress run in your project directory
- Claude Desktop image resize convert compress watermark image_compress ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor image resize convert compress watermark image_compress ~/.cursor/mcp.json
- VS Code image resize convert compress watermark image_compress .vscode/mcp.json
- Zed image resize convert compress watermark image_compress ~/.config/zed/settings.json
- Windsurf image resize convert compress watermark image_compress ~/.codeium/windsurf/mcp_config.json
- Cline image resize convert compress watermark image_compress ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI image resize convert compress watermark image_compress ~/.gemini/settings.json
- Grok image resize convert compress watermark image_compress .mcp.json (in your project root)
- ChatGPT image resize convert compress watermark image_compress Settings → Connectors → Advanced → Developer mode
- Claude.ai image resize convert compress watermark image_compress Settings → Connectors → Add custom connector
- LangChain image resize convert compress watermark image_compress pip install langchain-mcp-adapters
Fastest route
claude mcp add --transport http image-resize-convert-compress-watermark https://mcp.zovo.one/mcp/imageOther tools on this server
This list was read from the server itself, by connecting to it and calling tools/list on 24 September 2026. It is what
the server actually exposes, not what its listing claims.
Mutating and Read-only are read off each tool's name, not its schema — a hint, not a guarantee. The registry stores tool names only; connect the server for its live schemas.