"An exploration of deep search technologies or methods" matching MCP connectors:
Matching Connector Tools:
Hosted MCP memory: save sessions/decisions once, search from Claude, Cursor, ChatGPT. EU-hosted FTS.
For queries a model can't confidently place: resolves or declines. Built to decline, not guess.
A semantic search server that gives AI assistants instant access to Dodo Payments documentation and knowledge base.
**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
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.
Collaborative, cache-first web search for agents — cited answers from a shared live-web pool.
Serve a folder of Markdown notes as an MCP server: hybrid search, reading, and sourced answers.
Check claims against a fact-store: consistent, contradicts, or unverifiable — with a receipt.
Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.
LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.
Brave Search MCP — independent web index (no Google/Bing dependency)
1 Google Search endpoints. Pay per call in USDC via x402.
Apple Developer Documentation with Semantic Search, RAG, and AI reranking for MCP clients
Semantic search across 50,000+ food recipes with hybrid retrieval and reranking.
Hosted persistent memory with semantic search, importance and TTL for AI agents.
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.