Skip to main content
Glama
image-memory-tools.js2.61 kB
/** * 圖像記憶相關工具 * 提供便捷的圖像記憶管理功能 */ import { z } from 'zod'; import { createImageModality, validateImageModality } from '../utils/image-processor.js'; /** * 創建圖像記憶工具 */ export function createImageMemoryTools() { return [ { name: 'create_image_modality', description: 'Create an image modality object for use with memories. Supports image URLs, data URIs, and optional embeddings/tags.', inputSchema: z.object({ uri: z.string().describe('Image URI (URL or data:image/... base64)'), embedding: z.array(z.number()).optional().describe('Optional image embedding vector for similarity search'), tags: z.array(z.string()).optional().describe('Optional tags/keywords for the image'), description: z.string().optional().describe('Optional text description of the image'), metadata: z.record(z.any()).optional().describe('Optional metadata (size, dimensions, etc.)') }), handler: async (args) => { try { const modality = createImageModality(args); const validation = validateImageModality(modality); if (!validation.valid) { return { success: false, error: validation.errors.join(', ') }; } return { success: true, modality, message: 'Image modality created successfully. Use this object in the modalities/attachments field when creating memories.' }; } catch (error) { return { success: false, error: error.message }; } } }, { name: 'validate_image_modality', description: 'Validate an image modality object structure', inputSchema: z.object({ modality: z.any().describe('The image modality object to validate') }), handler: async (args) => { try { const validation = validateImageModality(args.modality); return { valid: validation.valid, errors: validation.errors, message: validation.valid ? 'Image modality is valid' : `Validation failed: ${validation.errors.join(', ')}` }; } catch (error) { return { valid: false, errors: [error.message], message: `Validation error: ${error.message}` }; } } } ]; } export default createImageMemoryTools;

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/win10ogod/memory-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server