"Building a Real-Time Automated DNS and AI Load Balancing System with AWS, HAProxy, and Python" 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
Token-efficient MCP memory for Markdown vaults. Tiered search, GraphRAG, AI memories.
NeuralBrain MCP Server - RAG, Vector Memory, LLM Routing, Agent Identity, x402 Payments
Long-term memory for AI assistants. Hybrid retrieval, query expansion, auto-topics.
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.
Same functionality, consuming only 1/20 of the context window tokens.