"How to create a SwiftUI app using MVVM architecture" matching MCP connectors:

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.

Turn a GitHub repo or docs site into agent-ready context: pack it or search it, over MCP.

Discover, prove, route, and serve small AI specialists with fast RAG and private agent memory.

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.

Durable, versioned memory for AI assistants. Remote memory needs a Pastepile subscription.

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.

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.

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.

Extract PDFs to Markdown, RAG chunks and cited tables; publish tracked Doc Links with read stats.

Parse PDF/Word/PPT/HTML to Markdown; tables as JSON, image extraction, RAG chunking, page ranges.

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.

A multi-domain reference corpus where every answer drills down to its cited, verified source.