n8n Workflow Connector
Multimodal AI processing for workflow automation
Transform URLs, text, images, and video into structured signals inside n8n workflows. Enables classification, semantic search, clustering, and ML inference on unstructured data with the pattern: Input → Mixpeek → Structured signals → Any system.
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Integrations
npm install @mixpeek/n8n-nodes-mixpeekUse Cases
Automated content classification pipelines
Semantic search integration in workflows
Content moderation automation
Data enrichment before database indexing
Features
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Integrations
Details
Quick Info
Frequently Asked Questions
What is the n8n Workflow Connector?
The n8n Workflow Connector is a community node for n8n that enables multimodal AI processing within your automation workflows. It transforms unstructured content (URLs, text, images, video) into structured signals that can be passed to any downstream system in your workflow.
How do I install the connector in n8n?
Go to Settings > Community Nodes > Install, then enter @mixpeek/n8n-nodes-mixpeek. Alternatively, install manually with npm install @mixpeek/n8n-nodes-mixpeek. After installation, add your Mixpeek API credentials through n8n's Credentials manager.
What operations are available?
The connector provides operations for: Retriever (semantic search and explain), Inference (multi-model AI), Collection management, Document CRUD, File uploads with presigned URLs, plus Bucket, Namespace, Taxonomy, Cluster, Task, and Webhook resources.
What input types are supported?
The connector supports text, web pages (HTML), images, video, and file uploads. Each input type is processed through Mixpeek's multimodal AI to extract structured signals including categories, keywords, sentiment scores, and embeddings.
Can I use different AI models for inference?
Yes, the Inference operation supports multiple model providers including OpenAI, Anthropic, Google, and custom models. You can choose the appropriate model for your use case directly within your n8n workflow.
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Ready to integrate?
Get started with n8n Workflow Connector in minutes. Check out the documentation or explore the source code on GitHub.