"How to interact with the Notion API" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
Stateless NMI + cosine fusion with entropy-driven alpha calibration
Search and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.
Cloudflare Workers MCP server: embedding-search
Remote ChromaDB vector database MCP server with streamable HTTP transport
Operate your Vector Panda collections: search and upsert vectors, schema, measured indexes, exports.
- XataOAuthio.github.xataio
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.
