LiquidMetal's SmartBuckets and MCP Accelerate AI Agent Development
LiquidMetal introduces SmartBuckets combined with Anthropic's Model Context Protocol to streamline AI agent development, reducing time from months to days.
LiquidMetal has unveiled a groundbreaking solution to one of the most persistent challenges in AI agent development: the RAG (Retrieval-Augmented Generation) pipeline bottleneck. By combining their proprietary SmartBuckets technology with Anthropic's Model Context Protocol (MCP), the company claims to reduce development time from months to days.
The RAG Pipeline Challenge
Traditional AI agent development requires extensive engineering work, typically spanning 6+ months, with teams spending significant time on:
- Document processing pipelines
- Chunking strategies
- Embedding generation
- Entity extraction and knowledge graph creation
- Vector database configuration
- Retrieval algorithm development
- Context assembly and management
SmartBuckets: The Game-Changing Solution
LiquidMetal's SmartBuckets technology eliminates the need to build these components from scratch. The system features:
AI Decomposition
When a file is uploaded to a SmartBucket, it undergoes an intelligent AI decomposition process:
- Content identification and extraction (text, images, tables, metadata)
- Specialized AI model processing for each content type
- Storage in optimized datastures with maintained relationships
- Immediate availability for AI queries
Automatic Knowledge Graph Creation
SmartBuckets goes beyond vector search with automatic knowledge graph capabilities:
- Entity and relationship extraction
- Knowledge graph construction
- Metadata enrichment for improved retrieval
These features reportedly reduce model hallucinations and improve information recall.
Technical Integration
The system stores processed data in multiple specialized systems including:
- Vector stores
- Graph databases
- Relationship stores
The processing pipeline includes models for:
- PII (Personal Identifiable Information) detection
- Harmful content screening (coming soon)
Easy Implementation with MCP
Integration with MCP-compatible systems requires minimal code. For example, adding SmartBuckets to Claude Desktop involves a simple JSON configuration:
{ "mcpServers": { "liquidmetal": { "command": "npx", "args": [ "mcp-remote", "https://mcp.raindrop.run/sse", "--header", "Authorization: Bearer ${RAINDROP_API_KEY}" ], "env": { "RAINDROP_API_KEY": "<LIQUIDMETAL_KEY_HERE>" } } } }
Future Developments
LiquidMetal is working on:
- Direct SmartBucket CREATE feature via MCP
- Expanded file type support (video, code, logs)
- Community-driven feature development
The company is offering the HN community $100 in free LiquidMetal credits using code HN-MCP-100 at https://docs.liquidmetal.ai/?utm_source=agenthunter.io&utm_medium=news&utm_campaign=newsletter.
For more information, visit http://liquidmetal.run/?utm_source=agenthunter.io&utm_medium=news&utm_campaign=newsletter.
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About the Author

Alex Thompson
AI Technology Editor
Senior technology editor specializing in AI and machine learning content creation for 8 years. Former technical editor at AI Magazine, now provides technical documentation and content strategy services for multiple AI companies. Excels at transforming complex AI technical concepts into accessible content.