Skip to main content
Glama
ifmelate

n8n-workflow-builder-mcp

by ifmelate
ai-embeddings-key-shape.test.js1.39 kB
const { describe, it, expect } = require('@jest/globals'); const { validateAndNormalizeWorkflow, SimpleNodeTypes } = require('../../dist/validation/workflowValidator.js'); describe('Embeddings connection key shape', () => { it('accepts ai_embeddings wiring from embeddings to vector store', () => { const reg = new SimpleNodeTypes(); reg.register('@n8n/n8n-nodes-langchain.embeddingsOpenAi', 1.2, { name: 'Embeddings', properties: [] }); reg.register('@n8n/n8n-nodes-langchain.vectorStoreQdrant', 1, { name: 'Qdrant', properties: [] }); const wf = { name: 'EMBEDDINGS_KEY_SHAPE', nodes: [ { id: 'emb-1', name: 'Embeddings', type: '@n8n/n8n-nodes-langchain.embeddingsOpenAi', typeVersion: 1.2, parameters: {} }, { id: 'qdr-1', name: 'Qdrant', type: '@n8n/n8n-nodes-langchain.vectorStoreQdrant', typeVersion: 1, parameters: {} }, ], connections: { Embeddings: { ai_embedding: [ [{ node: 'Qdrant', type: 'ai_embedding', index: 0 }] ] } } }; const report = validateAndNormalizeWorkflow(wf, reg); // No structural error should be raised by base validator for the shape itself expect(Array.isArray(report.errors)).toBe(true); }); });

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/ifmelate/n8n-workflow-builder-mcp'

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