"AWS Cost and Usage Analysis with Cost Optimization Recommendations" matching MCP connectors:
Matching Connector Tools:
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
Stateless NMI + cosine fusion with entropy-driven alpha calibration
Historical market memory for AI agents using semantic vector search across years of financial market data. Discover similar market regimes, price patterns, and market context for quantitative research and algorithmic trading.
Agent-driven search: build, import, tune, search, and score result quality — all over MCP.
Remote ChromaDB vector database MCP server with streamable HTTP transport
Persistent memory and vector search for AI agents. Hosted, OAuth-protected via Google sign-in.
Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.