"Information about SQL (Structured Query Language)" matching MCP connectors:

**ColdState Knowledge Search MCP Server** https://github.com/daniel-coldstate/coldstate-mcp Semantic search over 64.6M knowledge entries — the structured alternative to web search APIs and web scraping for LLM agents. No crawling, no rate limits, sub-3s responses. Cloud-hosted at services.coldstate.ai

No-code databases, forms, portals and AI sites. Manage records and automation via natural language.

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.

Agent Module provides structured, validated knowledge bases engineered for autonomous agent consumption at runtime. Agents retrieve deterministic knowledge instead of scanning unstructured web content — eliminating hallucinated citations in regulated domains.

AI web extraction: send URLs + a JSON Schema, get clean structured data. Pay-per-use via x402.

Turn documents into structured, AI-ready data by parsing, enriching, chunking, and embedding.

Unstructured document processing for LLM pipelines. Upload as PDF/DOCX/TXT any supported files, extract structured data (PII-redacted), build LLM-ready datasets, and search/export results — all via MCP tools (document.process, job.status, job.result, dataset.build, dataset.search, dataset.export).

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

Personal YouTube AI knowledge base powered by RAG. Query your subscribed YouTube channels with AI — get answers with video citations.

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

Enable language models to perform advanced AI-powered web scraping with enterprise-grade reliabili…

Structured knowledge base for AI agent solutions. Search, explore, and retrieve build logs.

Direct access to 40+ scraping and search tools. Extract structured data from Google (Search, Maps, Trends), Amazon, Airbnb, Social Media, and any web page directly into your AI agent.

AI agents hallucinate SaaS pricing constantly. PriceOf fixes that with structured, verified data — 50+ products with confidence scores, freshness scores, and last-verified timestamps.

Map text into knowledge graphs to create a structured representation of conceptual relations and t…

Long-term memory for AI assistants. Hybrid retrieval, query expansion, auto-topics.

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.

Reliable PDF table extraction. Pass a URL, get structured JSON tables with citations.