"A search for information about foreign topics (possibly misspelled)" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
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.
Search and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.
Stateless NMI + cosine fusion with entropy-driven alpha calibration
Cloudflare Workers MCP server: embedding-search
Disposable private vector search + semantic RAG for AI agents. x402 pay-per-call, no account.
Token-efficient MCP memory for Markdown vaults. Tiered search, GraphRAG, AI memories.
Agent-driven search: build, import, tune, search, and score result quality — all over MCP.
- AmberOAuthcom.ambermem
Long-term memory for AI assistants. Hybrid retrieval, query expansion, auto-topics.
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.
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.
