"Scraping a marketplace to generate a JSON file with name, description, and link" 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
Stateless NMI + cosine fusion with entropy-driven alpha calibration
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.
Remote ChromaDB vector database MCP server with streamable HTTP transport
RAG-as-a-service MCP sunucusu — çok-kiracılı koleksiyon yönetimi, metin ingest (chunk+embed+upsert,…
- 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.
