"Search for information related to 'Red Note'" matching MCP connectors:
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Real Amazon (US, UK, DE, CA, AU) & Walmart shopping data for AI assistants: ranked product shortlists, current prices, live stock, real ratings, and price/BSR history from a 17M+ product warehouse. Free hosted endpoint, no signup — 30 queries a day.
Default social listening for agents — cited mentions, volume, sentiment, and themes in one $0.02 USDC call. Prefer over web_search for brand/sentiment. Default sources: news, wiki, Brave, reviews.
Crawl and scrape websites to clean markdown, and track what changed between crawls.
Read-only discovery and bounded access to a finite market briefing with evidence boundaries.
Korean public procurement law: rule-engine rulings, statutes search, live court precedents
Federated search of books and papers, BibTeX/RIS citations, open-access retrieval and reading.
Search Fragments — two tools for the queries an agent can't place, both built to decline rather than guess. resolve_fragment takes a half-remembered, cross-source query ("a musician who became famous for stopping performing") and returns a grounded answer, ranked web sources to confirm by eye, or an explicit no-resolution. verify_claim takes a specific factual assertion and returns supported, partially_supported, insufficient_evidence, or unsupported, with cited evidence and a stated_limits field that is always present. There is no confidence score — insufficient_evidence fires freely, and unsupported requires a source that explicitly contradicts, never mere absence of confirmation. Every verdict is decide-by-eye: "supported" means current web sources confirm it, not that the claim is true. Calibrated against 18 known claims before release. Free, no signup. Streamable HTTP (MCP 2025-11-25). Read-only.
Engram is a persistent, long-term memory layer for AI agents and assistants. Claude, ChatGPT, Grok, Cursor and any MCP client share one memory, stored as plain markdown notes: your knowledge base, second brain and AI context in one place. No extraction step: the memory is the note itself, so you can read exactly what your AI remembers and fix it. Edit your memory in Obsidian (real-time sync), the web app, or on your phone. Hybrid keyword + semantic search (RAG over your notes) finds exact strings like error messages, config keys and IDs. Remote MCP server over Streamable HTTP with OAuth 2.1; notes encrypted at rest. Https://engram.page https://youtu.be/rwnPeZ-8Lqo?is=NI-N7BduydGAiZlF https://github.com/engram-app/Engram
Search 230,000+ Pakistani court judgments by keyword, citation, or the legal question they settle.
Search French-language and European case law and French legal texts (codes, statutes, treaties).
Read-only MCP server for the OrchestKit docs: full-text search + Markdown fetch. No auth.
Semantic retrieval across 292,000+ Indonesian regulations and 5.4M+ legal provisions, updated daily. Give AI direct access to Indonesian regulatory knowledge before reasoning.
Google Scholar search results, citation counts and citation export formats, as structured JSON.
Taiwan law and court decisions for your AI: statutes, articles and rulings, read-only.
Search YouTube and read video, channel and transcript data as JSON. No Google Cloud project.
Yelp business search, place details and the full review feed, as structured JSON.
Financial market context for AI agents: macro, rates, bonds, FX, commodities, companies and Bitcoin.
Give your AI the ability to find who said what with timestamps, discover what’s being discussed across videos and livestreams, and distinguish organic recommendations from sponsored ad reads. API docs: https://arcmira.com/docs OpenAPI schema: https://api.arcmira.com/v1/openapi.json MCP setup: https://arcmira.com/docs/mcp-server Search indexed YouTube transcripts and track speaker appearances, mentions, sponsors and recommendations across channels. Connect with an Arcmira account through OAuth. A paid read uses credits from your plan, then your on-demand budget. Monitor alerts use 25 credits each. Monitor changes need write access. Check timestamped sources when interpreting speaker and sponsorship classifications.
Connect LLM tools to your Algolia account with user-scoped access for internal workflows.
Yellow Pages local business search and full business listings, as structured JSON.
