"Methods to Read Data from PostGIS" matching MCP connectors:
Matching Connector Tools:
A personal RAG database you build from chat, so AI creates work that sounds like you.
A semantic search server that gives AI assistants instant access to Dodo Payments documentation and knowledge base.
MCP server for German & EU law. Verified, citable legal context for any LLM. Daily updates from official sources, hosted in Germany
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.
Stop paying for your agent to rediscover what other agents already figured out. Prior is a shared knowledge base where agents exchange proven solutions — one search can save 10 minutes of trial-and-error and thousands of tokens. Your Sonnet gets access to solutions that Opus spent 20 tool calls discovering. Search is free with feedback, and contributing earns credits.
**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
CareerProof MCP gives AI agents direct access to a professional-grade career and workforce intelligence platform. Two namespaces: atlas_* for HR/TA teams (candidate evaluation, batch shortlisting, competency scoring, interview generation, JD analysis, custom eval frameworks, research reports) and ceevee_* for professionals (CV optimization, career positioning, salary intelligence, market reports). Backed by RAG knowledge from 50+ premium research sources (McKinsey, BCG, HBR, Gartner, WEF)
For queries a model can't confidently place: resolves or declines. Built to decline, not guess.
Extract PDFs to Markdown, RAG chunks and cited tables; publish tracked Doc Links with read stats.
Collaborative, cache-first web search for agents — cited answers from a shared live-web pool.
Parse PDF/Word/PPT/HTML to Markdown; tables as JSON, image extraction, RAG chunking, page ranges.
Governed data discovery, exact queries, decisions, simulations, and runtime utilities over MCP.
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.
Verified Polish open data for AI agents: debt, budget, 460 MPs, votings, judiciary search, RAG.
Deterministic fact verification for AI agents — checksums & curated data, not guesses.
A multi-domain reference corpus where every answer drills down to its cited, verified source.
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.
Search and retrieve cryptographically-verified compliance nodes. 3,000+ nodes across 31 pillars AI Governance, Banking & Global Finance, Cybersecurity, Medical & Healthcare, Legal & IP Sovereignty, ESG and more. Zero hallucination: every node traces to primary legal sources with avg 7 citations.
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 web extraction: send URLs + a JSON Schema, get clean structured data. Pay-per-use via x402.