"How to find answers using Google search" matching MCP connectors:
Matching Connector Tools:
MarkupBase turns AI-generated Markdown and HTML into durable, versioned artifacts that people can review and discuss. Its MCP server lets agents publish new versions, preserve contextual comments, include hosted images, and respond to feedback through secure account-linked identities, creating a clear human review boundary without requiring real-time editing.
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.
Independent fact-checking for AI answers: a verdict and sources for every claim.
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.
Create your digital twin: a public page that answers from your own material, with citations.
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)
Document-to-Markdown MCP server — convert PDF, Office and HTML into LLM-ready Markdown.
1 Google Search endpoints. Pay per call in USDC via x402.
Apple Developer Documentation with Semantic Search, RAG, and AI reranking for MCP clients
Extractive legal answers and semantic search over the public wiki.private.law corpus
Semantic search across 50,000+ food recipes with hybrid retrieval and reranking.
Extract PDFs to Markdown, RAG chunks and cited tables; publish tracked Doc Links with read stats.