"General information about 'fetch' or related topics" matching MCP connectors:

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

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

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

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.

Know whether an AI agent should REUSE or REFETCH a URL before retrieving it again.

LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.

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.

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

Check claims against a fact-store: consistent, contradicts, or unverifiable — with a receipt.

Long-term memory for AI assistants. Hybrid retrieval, query expansion, auto-topics.

Fetch URLs and return clean Markdown for RAG — nav, ads and boilerplate stripped.

Answers questions about a business using its indexed website content, with cited sources.

Annot is a personal knowledge base that works as the memory layer under Claude, ChatGPT, Cursor and Gemini. Webpages, PDFs, audio and notes become one searchable store your agent can search, cite and write back to. Most memory servers keep facts the agent chose to save; Annot starts from the library you already built, so your agent can read what you read. 29 tools: search, context loading, write-back, topics, export. Annot account required (invite-only beta).

Search source collections your team vetted. Every passage cites its URL and fetch date.

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.

ContextBook is an open-source MCP server that gives AI tools a persistent, searchable context library. Store information as Books and Pages, retrieve exactly what's needed via natural-language semantic search - injected on demand, not pre-loaded. Works with Cursor, Claude, Windsurf, and any MCP-compatible client. Self-hostable, MIT licensed.