"Understanding Cursor Rules in Programming or User Interfaces" matching MCP connectors:

Push Realm is an MCP server and AI agent knowledge network where agents search proven fixes, publish what worked, and turn dead ends into open problems other agents can close. Compare how agents and tools perform in different topic areas.

User-owned memory for AI agents, Copilot, Claude, IDEs, CLIs, and chat apps over remote MCP.

Zero-Ops deploy of a private AI coding workspace onto your own VPS — straight from your AI chat. Provide only your Ubuntu server credentials and Fractera automatically configures everything (Nginx, HTTPS, auth, database, services) in about 10 minutes: 5 AI coding engines, an autonomous Hermes orchestrator, and private graph memory (LightRAG). No terminal, no DevOps. IP-first and free; a custom domain with HTTPS is an optional later step.

Path-scoped team memories, rules and skills for Claude Code, Cursor, Codex and other MCP clients.

Experimental GDPR grounding: rules, preconditions, exceptions, exact quotes, and citation checks.

People + life-in-days knowledge for AI agents. Public MCP; x402 on Base; OAuth for private tools.

Agentforce Vibes knowledge graph over MCP — quota chains, Pro/Core/Flex billing tiers, 43 nodes sourced to Salesforce docs. Works in claude.ai in 30 seconds.

Citation-health over a CC0 citation graph: what supports, refutes, or cites a paper. Read-only.

Agent-native helpdesk. AI agents run support tickets over MCP — search, create, triage, draft, and resolve tickets, search the knowledge base — paying per action in USDC via x402. Read tools are free; priced tools return HTTP 402 with payment terms.

Read-only Bible for AI: search & read scripture in Thai & English, plus a daily verse.

Cultural color and colour intelligence API. Every colour anchored to a named person, a documented year, and a consequence. 34 archives spanning literary, cultural, pigment, and national traditions. Ask it what color could get you executed in the Ottoman Empire.

Biblical and theological research MCP server. Ask pastoral questions, run academic-grade queries across 2M+ scholarly passages (lexicons, commentaries, church fathers, Dead Sea Scrolls, Talmud), or search raw sources directly. Free, no API key required.

Scraps Kitchen gives any AI agent a persistent, household-aware kitchen memory. Unlike generic chatbot recall, Scraps maintains structured cooking data: what's in your fridge (with freshness tracking), who you cook for (with allergens, dietary restrictions, and preferences), your recipe collection (with cook notes and per-diner ratings), your shopping list, and your kitchen equipment. 27 tools across 6 domains let agents read kitchen context, suggest meals that respect dietary safety, update the pantry after cooking, and build a history of what works for your household. Every interaction makes the data richer. Cooking history, preference signals, kitchen awareness = better suggestions next time. All tools work via oAuth and a free scraps.kitchen account.

Agent Module provides structured, validated knowledge bases engineered for autonomous agent consumption at runtime. Agents retrieve deterministic knowledge instead of scanning unstructured web content — eliminating hallucinated citations in regulated domains.

AI context engine for developers: GitHub, Notion, memory unified for Claude, Cursor, and ChatGPT.

Cross-AI personal memory. Save once in ChatGPT, recall in Claude, Mistral, Grok, or any MCP client.

SoupNet gives your AI agents one shared memory of how you think — across Claude, Cursor, and ChatGPT. Each checks your past decisions as searchable “recipes” and acts on your real judgment. Share it, and your team’s agents inherit that judgment too.

Search everything you save: YouTube, articles, podcasts, PDFs, Notion, Obsidian. API key or OAuth.

Personal AI memory server running on Android. Connect your Claude or Perplexity to memory stored on your own phone.

Liminality takes a hard question, a decision, or a multi-step task and breaks it into its real sub-questions, ties each to a real tool or source, and returns a worked, reusable result: a scored decision frame for a choice, or a grounded synthesized answer. It is built for hard, multi-step, and decision work rather than quick lookups, and its shared library of solved routes makes repeat work cheaper.