"User Interface Design or Concepts" matching MCP connectors:

For queries a model can't confidently place: resolves or declines. Built to decline, not guess.

Multilingual YouTube → Knowledge Pack engine. Paste a video URL and get a structured pack — summary, key ideas, glossary, quiz, transcript with timestamps — in Spanish, Portuguese, German, or English. Anonymous endpoint plus OAuth-gated tools for library search, RAG Q&A on a single pack, and Anki export.

Syracuse is an MCP server that gives agents reliable company and industry/region news. Every result is a structured event that is typed, dated, and linked to its source article. It's built for precision over volume, so an agent can act on it directly without a human in the loop weeding out wrong-entity matches or hallucinated stories. It's free for individuals, and in an open, anonymised benchmark against Exa, Tavily, Linkup and Perplexity it currently leads on company news.

Real-time web search with answer-ready results for Claude, Cursor and any MCP client. A Tavily alternative: same speed, 20.2% fewer tokens, higher answer quality (60.7% of decided duels won) on a public benchmark. Hosted on mcp.serpdive.com or npx serpdive-mcp.

Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.

Persistent memory for AI assistants. Save once; recall from Claude, ChatGPT, or any MCP client.

Connect LLM tools to your Algolia account with user-scoped access for internal workflows.

Illumora Craft — evidence-augmented prompt compile for agents via remote MCP (OAuth) or local stdio.

LLMtoMD is the memory layer for AI coding agents. It converts any document — PDF, DOCX, slides, spreadsheets, images, audio, even whole websites — into clean, structured Markdown, then exposes it over MCP so your agent can search your FRDs, specs, and API docs on demand instead of re-reading (or forgetting) them.

Agent search: query-tailored web/news/paper/podcast segments, not full pages or links.

Connect Claude, Cursor, or ChatGPT to your business data. Ask questions, get answers.

Make your knowledge agent-ready. Connect docs from Confluence, Notion, GitHub, Dropbox, or Google Drive — any AI agent searches them via one MCP endpoint. 3 retrieval modes: vector search, broad search, and full document access. The agent decides how deep to dig.

Knowledge graph for AI agents. Query concepts, walk edges, get advisories.

Let your agent work from real research instead of guessing: search papers, check what supports or contradicts a claim, and publish back. Two roles: researcher and governance.