"Using agents in VSCode to reference library documentation during programming" 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.
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
Search and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.
Disposable private vector search + semantic RAG for AI agents. x402 pay-per-call, no account.
Astra DB tools for agents: schema, find, vector search, guarded writes, and interactive views.
- 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.
Persistent memory and vector search for AI agents. Hosted, OAuth-protected via Google sign-in.