"Connecting to a vector knowledge base" 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.
A search engine that learns from feedback, over embeddings: one tool per API route.
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.
Remote ChromaDB vector database MCP server with streamable HTTP transport
Astra DB tools for agents: schema, find, vector search, guarded writes, and interactive views.
MemoryOracle - 10 agent memory tools: vector store, recall, summarization, redaction.
Operate your Vector Panda collections: search and upsert vectors, schema, measured indexes, exports.
RAG-as-a-service MCP sunucusu — çok-kiracılı koleksiyon yönetimi, metin ingest (chunk+embed+upsert,…
Vector RAG store for Word/Excel/PDF/PowerPoint. Break-even pricing, $5 per 5,700 pages.
NeuralBrain MCP Server - RAG, Vector Memory, LLM Routing, Agent Identity, x402 Payments
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.
Production-grade MCP server for discovering AI agent frameworks, vector databases, LLM gateways, and generating certified Docker Compose deployment stacks