image_batch_status — APICK AI MCP Tool
image_batch_status
(image batch status) is one of 15 tools on the
APICK AI
MCP server. Connect the server and your client discovers it on the handshake.
by client
How to call image_batch_status from your client
- Claude Code APICK AI image_batch_status run in your project directory
- Claude Desktop APICK AI image_batch_status ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor APICK AI image_batch_status ~/.cursor/mcp.json
- VS Code APICK AI image_batch_status .vscode/mcp.json
- Zed APICK AI image_batch_status ~/.config/zed/settings.json
- Windsurf APICK AI image_batch_status ~/.codeium/windsurf/mcp_config.json
- Cline APICK AI image_batch_status ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI APICK AI image_batch_status ~/.gemini/settings.json
- Grok APICK AI image_batch_status .mcp.json (in your project root)
- ChatGPT APICK AI image_batch_status Settings → Connectors → Advanced → Developer mode
- Claude.ai APICK AI image_batch_status Settings → Connectors → Add custom connector
- LangChain APICK AI image_batch_status pip install langchain-mcp-adapters
Fastest route
claude mcp add --transport http ai https://apick.app/mcp/aiOther 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.