"Creating a Web API, VSIX Extension, and WPF Application" matching MCP connectors:
Matching Connector Tools:
Persistent semantic memory for AI agents: store and recall text by meaning (RAG, Vectorize). x402
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.
Cloudflare Workers MCP server: embedding-search
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
Agent-driven search: build, import, tune, search, and score result quality — all over MCP.
Vector RAG store for Word/Excel/PDF/PowerPoint. Break-even pricing, $5 per 5,700 pages.
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.