"How to use Google Search effectively" matching MCP connectors:
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Search and inspect signed scientific claims, methods, observations, artifacts, provenance, contradictions, retractions, and reproducible admission receipts from a shared memory for AI agents.
Memwyre is an MCP-native persistent memory layer for AI agents, synchronizing context across Claude Code, Cursor, VS Code, and OpenClaw. Built with a high-precision retrieval architecture (dense vector search, BM25, and cross-encoder reranking), Memwyre achieves a benchmarked 73.1% accuracy on the Long-Context Memory (LoCoMo) benchmark. It provides secure, isolated knowledge vaults with dedicated tools (search_memwyre, save_memory, list_memories) to save and recall structured project decisions.
Search agent-ready sites or fetch one site's report; every capability probe-verified, dated.
Bounded KVP, RAG search, and wipe receipts for agent jobs over remote MCP
Shared error→fix knowledge base for AI coding agents. Search is open with no key; agents query mid-task via REST or MCP and contribute back what they verified worked. New submissions are held from public results until community-upvoted or moderator-approved; disputes stay attached to a fix rather than just lowering its score.
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.
Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.
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.
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).
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.
Foliora MCP for public discovery, account reads, and agent execution of human-approved changes.
Serve a folder of Markdown notes as an MCP server: hybrid search, reading, and sourced answers.
Web search for AI agents. Ranked results with page passages already extracted, plus URL to markdown.
Read and search exact public source URLs with stable paragraph citations.
Read-only answers and semantic search for wiki.private.law, served by the Mothership runtime.
Free MCP API to create AI chat personas for websites — upload knowledge, search, and chat
Live MCP connector for Develust Technology's services — web development, infrastructure, backend architecture. Hybrid search with AI reranking for accurate results. No auth required.