"Information about RAG (Retrieval-Augmented Generation)" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Bounded KVP, RAG search, and wipe receipts for agent jobs over remote MCP
Sovereign intelligence dossiers, daily briefings, RAG search, knowledge graph, codon optimizer.
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
CareerProof MCP gives AI agents direct access to a professional-grade career and workforce intelligence platform. Two namespaces: atlas_* for HR/TA teams (candidate evaluation, batch shortlisting, competency scoring, interview generation, JD analysis, custom eval frameworks, research reports) and ceevee_* for professionals (CV optimization, career positioning, salary intelligence, market reports). Backed by RAG knowledge from 50+ premium research sources (McKinsey, BCG, HBR, Gartner, WEF)
PDF/Word/Excel/HTML to clean Markdown for LLMs and RAG. Keys $19/mo; 50 free calls a day.
Generate 18 AI readiness files (llms.txt, ai.txt, RAG indexes, schema) for any website.
Manage your Mistral platform — models, files, batch jobs, agents and RAG document libraries.
x402 clean article text and metadata for AI/RAG. $0.002 per successful article.
x402 PDF text, pages, and metadata for AI/RAG. $0.0015 per successful PDF.
Any URL to clean text, markdown, or JSON for LLM/RAG pipelines.
HTML to clean Markdown for LLM and RAG pipelines: headings, lists, tables, links, code fences. Pr...
India's financial MCP — cards, loans, FDs, insurance, MFs; EMI/SIP/tax calcs; NAV lookup; RAG.
LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.
Semantic search across 50,000+ food recipes with hybrid retrieval and reranking.
Extract PDFs to Markdown, RAG chunks and cited tables; publish tracked Doc Links with read stats.
Knowledge Base von designare.at – Michael Kanda, Web & KI aus Wien. Semantische Suche über RAG.
Kannada/English Carnatic flute KSGMS syllabus — search lessons, log practice, ask a RAG guru.
Korean crypto × AI media MCP — channel stance, daily briefs, RAG, canonical store, AI personas.
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
Full-text financial reports (US, China, Japan, Korea, Taiwan, UK) as clean Markdown for RAG agents.
