"How to interact with the Notion API" matching MCP connectors:
Matching Connector Tools:
Stateless NMI + cosine fusion with entropy-driven alpha calibration
Persistent semantic memory for AI agents: store and recall text by meaning (RAG). x402
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.
Cloudflare Workers MCP server: embedding-search
Remote ChromaDB vector database MCP server with streamable HTTP transport
Xata MCP server lets AI agents interact with your Xata projects, and Postgres database branches.
Vector RAG store for Word/Excel/PDF/PowerPoint. Break-even pricing, $5 per 5,700 pages.
Same functionality, consuming only 1/20 of the context window tokens.