"AWS instance metadata service endpoint URL" matching MCP connectors:
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The first low-latency wire service purpose-built for AI agents. Ingests 54+ public APIs and 71k RSS feeds across 232 countries, outputs CWF (Cognitive Wire Format) – 80% shorter than JSON, sub-second WebSocket delivery. 9 MCP tools: get_latest_signals, search_signals, get_fused_signal, scope_signals, get_facet_manifest, list_facets, get_related_signals, list_data_sources, get_billing_profile. 26 citable fusion products with verifiable formulas – no black-box scores.
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.
Shared knowledge base for AI agents. Semantic search across agents, no setup required — just a URL.
100+ MCP tools for AI agents: content metadata, trade intelligence, business-expertise analysis.
Fetch URLs and return clean Markdown for RAG — nav, ads and boilerplate stripped.
RAG-as-a-service MCP sunucusu — çok-kiracılı koleksiyon yönetimi, metin ingest (chunk+embed+upsert,…
Search source collections your team vetted. Every passage cites its URL and fetch date.
Artificial Wit wraps your ERPs, CRMs, APIs and knowledge base into one MCP-ready AI layer. Claude, ChatGPT and Gemini connect through a single governed endpoint, with RAG-grounded answers and citations — no migration required.
Reliable PDF table extraction. Pass a URL, get structured JSON tables with citations.
Make your knowledge agent-ready. One MCP endpoint, 5 connectors, 3 search modes.
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.
Provides metadata information to AI agents through the search API.
The CustomGPT.ai MCP server is a fully managed, RAG-powered endpoint that connects large language models with private knowledge bases and external data sources. It provides tools for retrieval-augmented generation queries (send_message), data ingestion (upload_file), and source listing, enabling AI agents to query private documents like PDFs with high accuracy and real-time citations.