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"SQL-Based Technologies or Concepts" matching MCP connectors:

Matching Connector Tools:

  • Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.

  • For queries a model can't confidently place: resolves or declines. Built to decline, not guess.

  • Turn a GitHub repo or docs site into agent-ready context: pack it or search it, over MCP.

  • Semantic search over the Stoic corpus — Marcus Aurelius' Meditations, Seneca's essays, and Epictetus' Discourses, Enchiridion and Fragments. Search by theme or citation, fetch any passage, or get the daily reflection. Public domain translations, no auth.

  • Know whether an AI agent should REUSE or REFETCH a URL before retrieving it again.

  • Multilingual YouTube → Knowledge Pack engine. Paste a video URL and get a structured pack — summary, key ideas, glossary, quiz, transcript with timestamps — in Spanish, Portuguese, German, or English. Anonymous endpoint plus OAuth-gated tools for library search, RAG Q&A on a single pack, and Anki export.

  • Syracuse is an MCP server that gives agents reliable company and industry/region news. Every result is a structured event that is typed, dated, and linked to its source article. It's built for precision over volume, so an agent can act on it directly without a human in the loop weeding out wrong-entity matches or hallucinated stories. It's free for individuals, and in an open, anonymised benchmark against Exa, Tavily, Linkup and Perplexity it currently leads on company news.

  • Real-time web search with answer-ready results for Claude, Cursor and any MCP client. A Tavily alternative: same speed, 20.2% fewer tokens, higher answer quality (60.7% of decided duels won) on a public benchmark. Hosted on mcp.serpdive.com or npx serpdive-mcp.

  • 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.

  • Persistent memory for AI assistants. Save once; recall from Claude, ChatGPT, or any MCP client.

  • Check claims against a fact-store: consistent, contradicts, or unverifiable — with a receipt.

  • A collaborative substrate over your data: vector, knowledge graph, SQL, geospatial, streaming.

  • Illumora Craft — evidence-augmented prompt compile for agents via remote MCP (OAuth) or local stdio.

  • LLMtoMD is the memory layer for AI coding agents. It converts any document — PDF, DOCX, slides, spreadsheets, images, audio, even whole websites — into clean, structured Markdown, then exposes it over MCP so your agent can search your FRDs, specs, and API docs on demand instead of re-reading (or forgetting) them.

  • Agent search: query-tailored web/news/paper/podcast segments, not full pages or links.

  • Connect Claude, Cursor, or ChatGPT to your business data. Ask questions, get answers.

  • 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.

  • MCP server for SendaMeal.com enabling AI assistants to search gift meal products, filter by dietary restrictions, and get occasion-based recommendations. Powered by Cloudflare Workers and AutoRAG.

  • Semantic memory for AI agents. Store, recall, and forget memories with entity extraction and fact-based retrieval. Self-hostable, privacy-first, works with any LLM.