"Vector Database" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
The only News based AI MCP your agents will ever need — custom categories, global regions, and time-scoped results in one tool. We use multi-vector & sparse-hybrid search to search through thousands of articles across the world to find the exact news you're looking for.
Serverless hybrid search: full-text, vector and faceted search, in SQL, ES DSL, Solr and more.
Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.
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.
A personal RAG database you build from chat, so AI creates work that sounds like you.
An MCP server for search and retrieval over a local LanceDB database
Query your Postgres from ChatGPT or Claude without exposing the database or handing over credentials. Run npx boltschema connect next to your database and it dials out over HTTPS — no inbound firewall rule, no open port, works with localhost and VPC-private databases. Read-only is enforced by a SQL guard, a Postgres READ ONLY transaction, and a scoped role generated for you.
Memwyre is an MCP-native persistent memory layer for AI agents, synchronizing context across Claude Code, Cursor, VS Code, and OpenClaw. Built with a high-precision retrieval architecture (dense vector search, BM25, and cross-encoder reranking), Memwyre achieves a benchmarked 73.1% accuracy on the Long-Context Memory (LoCoMo) benchmark. It provides secure, isolated knowledge vaults with dedicated tools (search_memwyre, save_memory, list_memories) to save and recall structured project decisions.
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
Pay-per-use Apify tools for AI classification, SEO audits, leads, transcripts and web data.
Vector RAG store for Word/Excel/PDF/PowerPoint. Break-even pricing, $5 per 5,700 pages.
MCP memory server with shared team workspaces, typed knowledge chunks (decision, finding, convention, state, question, reference), role-based access, and cross-tool support for Claude, Cursor, and Codex. The only MCP memory server built for engineering teams. Features automatic deduplication, two-layer retrieval (LLM KB selection + hybrid vector/BM25/RRF fusion), a web dashboard with knowledge graph visualization, and attribution tracking. Zero server-side LLM costs.
Make your knowledge agent-ready. Connect docs from Confluence, Notion, GitHub, Dropbox, or Google Drive — any AI agent searches them via one MCP endpoint. 3 retrieval modes: vector search, broad search, and full document access. The agent decides how deep to dig.
A collaborative substrate over your data: vector, knowledge graph, SQL, geospatial, streaming.
Xata MCP server lets AI agents interact with your Xata projects, and Postgres database branches.
NeuralBrain MCP Server - RAG, Vector Memory, LLM Routing, Agent Identity, x402 Payments
Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.
