"Connect to RemNote AI to edit learning flashcards" matching MCP connectors:
Matching Connector Tools:
Deterministic AI agent microtools, no accounts/API keys. fetch_extract: 98% token cut. 38 tools.
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.
AI-first file sharing and collaboration. 251 tools give agents a full workspace: file storage, branded shares, comments, workflows, and built-in RAG. 50GB free, no credit card.
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.
Free mechanical checks for AI text: unnamed counts, dangling references, bad arithmetic, misquotes.
Discover, prove, route, and serve small AI specialists with fast RAG and private agent memory.
Source-traced evidence research for AI agents. We organise the evidence; you decide.
Independent fact-checking for AI answers: a verdict and sources for every claim.
Durable, versioned memory for AI assistants. Remote memory needs a Pastepile subscription.
Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.
Compact, citation-verifiable public web context for AI agents, paid per use with x402.
Create your digital twin: a public page that answers from your own material, with citations.
The first low-latency wire service purpose-built for AI agents. Ingests 54+ public APIs and 71k RSS feeds across 232 countries, outputs CWF (Cognitive Wire Format) – 80% shorter than JSON, sub-second WebSocket delivery. 9 MCP tools: get_latest_signals, search_signals, get_fused_signal, scope_signals, get_facet_manifest, list_facets, get_related_signals, list_data_sources, get_billing_profile. 26 citable fusion products with verifiable formulas – no black-box scores.
Persistent semantic memory for AI agents: store and recall text by meaning (RAG). x402
LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.
Cross-vendor AI memory over MCP. One semantic store, readable and writeable from every MCP client.
Document-to-Markdown MCP server — convert PDF, Office and HTML into LLM-ready Markdown.
Human-authored personal context before AI guidance, built through private structured reflection.
Apple Developer Documentation with Semantic Search, RAG, and AI reranking for MCP clients