"Current trading prices and market information" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Search and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.
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.
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.
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.
Persistent memory and vector search for AI agents. Hosted, OAuth-protected via Google sign-in.
- ContextaOAuthcc.contexta
Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.