"Generate Word documents" matching MCP connectors:

Shared, verifiable memory for AI agents and robots: signed tokens that resolve and verify offline.

Generate 18 AI readiness files (llms.txt, ai.txt, RAG indexes, schema) for any website.

ConceptNet MCP — open multilingual word/phrase relation graph

Search and cite the full Pāli Canon (Tipiṭaka, ~444K segments) — Sutta, Vinaya, Abhidhamma at parity with SuttaCentral. Hybrid search, full-sutta fetch, translation comparison, Pāli word lookup. Free, non-commercial, offered as Dhamma Dāna.

Intelligent context infrastructure for AI teams: knowledge graph, sessions, tasks, documents.

162K English words, 74K lessons, knowledge graph, semantic reverse-dictionary search.

Qimen Dunjia & Da Liu Ren divination: complete nine-palace charts and four-lesson analysis.

Turn documents into structured, AI-ready data by parsing, enriching, chunking, and embedding.

Event-sourced world model for multi-LLM agents: propose, validate, and read a shared state.

Homeowner's AI: view & update appliances, warranties, documents & maintenance for your home.

Private memory layer — one library your notes, docs, and chat history live in, that any AI tool (Claude, Cursor, ChatGPT) connects to over MCP instead of re-pasting context. Semantic search over your own documents with citations; every memory is a document you can read, edit, and delete. ~80% fewer context tokens than pasting your library. Connect via OAuth (sign in when prompted) — get started at

Search, read, and automate TextMine documents, records, workflows, integrations, and agent tasks.

AI workspace — shared knowledge, skills, and tools for AI agents

Markdown workspace for AI agents: read, write, organize, and share markdown documents.

Your AI's memory for what you actually know: recall across your documents, notes, and meetings

Ingest, manage, and retrieve documents for RAG-powered AI applications

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.