fredac100/elasticsearch-memory-mcp
🧠Elasticsearch-powered MCP server with hierarchical memory categorization, intelligent auto-detection, and batch review capabilities
Implements stdio transport for Claude integration with hierarchical context loading that reduces token usage by 60-70% through smart priority ranking of 5 memory categories. Features vector embeddings for semantic search, accumulative confidence scoring across 23+ keyword patterns for auto-categorization, and batch workflow tools for reviewing and reclassifying uncategorized memories with backward compatibility for existing data.
No commits in the last 6 months. Available on PyPI.
Stars
7
Forks
2
Language
Python
License
MIT
Category
Last pushed
Oct 05, 2025
Commits (30d)
0
Dependencies
5
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