"Tools for opening websites and extracting 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.
Disposable private vector search + semantic RAG for AI agents. x402 pay-per-call, no account.
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.
- AmberOAuthcom.ambermem
Long-term memory for AI assistants. Hybrid retrieval, query expansion, auto-topics.
Token-efficient MCP memory for Markdown vaults. Tiered search, GraphRAG, AI memories.
MemoryOracle - 10 agent memory tools: vector store, recall, summarization, redaction.
- 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.
- ContextaOAuthcc.contexta
Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.
