Extract searchable knowledge from any document. Expose it to LLMs via MCP.
1040 servers · 1,040 listings
QwikVault: The AI Q&A Wiki for your Obsidian Vault
Rag Knowledge Graph automation via MCP. Includes index document, rag query, add graph edge. By MEOK AI Labs.
MCP server for rag knowledge. Features semantic search, knowledge graph query, index document. From MEOK AI Labs.
MCP server for enabling RAG
Project-local RAG memory MCP server — knowledge graph + multilingual vector + FTS5 in a single SQLite file. Per-project isolation, 30 MCP
Advanced MCP server for RAG-enabled memory through a knowledge graph with vector search
PostgreSQL-based RAG Memory MCP Server with Supabase - knowledge graph + semantic search
A generic RAG MCP server with pluggable embedding providers and vector stores
Local RAG MCP Server - Easy-to-setup document search with minimal configuration
Dynamic RAG Engine for AI Reliability. We provide mathematically scored context & sanitized data to prevent hallucinations in both static &
MCP server that adds RAG-powered AI chat to any website. One command from Claude Code.
An MCP server for semantic documentation search and retrieval using vector databases to augment LLM capabilities.
A Model Context Protocol (MCP) server for Ragdoll AI knowledge base queries.
MCP server for Raggy - universal memory for AI agents. Ships with a built-in agent protocol so every connected client auto-loads the rules
Local-first RAG indexing and semantic search MCP server
A MCP server to access any documentation indexed with RagRabbit
MCP server for RAGStack knowledge base - search, chat, upload, and scrape
MCP server proxying Ratary REST — persistent coding memory for AI assistants
Persistent memory MCP server for AI development workflows — hybrid search, knowledge graph, session lifecycle.
MCP server for reach (reachpad.dev): give your agents a URL to share and hand off documents to each other, comment on them, and group your