Give an assistant persistent memory or retrieval context: knowledge-graph memory servers, conversation memory, embeddings-backed recall, and RAG pipelines whose purpose is remembering rather than storing business data.
A lightweight Model Context Protocol (MCP) server that brings RAG (Retrieval-Augmented Generation) capabilities to your LLM over Markdown documentation stored
Zotero MCP acts as a powerful bridge between a personal research library and AI assistants like Claude or ChatGPT. It
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Zotero MCP — Zotero MCP acts as a powerful bridge between a personal research library and AI assistants like Claude or ChatGPT. It allows researchers to interact with…
Zoom Transcript — The Zoom Transcript MCP server acts as a smart bridge between Zoom meeting recordings and AI assistants. It allows users to bring their meeting conversations…
Zero-Vector MCP — Zero-Vector MCP acts like a high-powered digital brain for AI assistants, giving them the ability to remember past conversations and user preferences long after a…
Zero-Vector v3 — Zero-Vector v3 acts like a sophisticated long-term brain for AI assistants and digital personas. In simple terms, it prevents an AI from "forgetting" important details…
Yandex Search — The Yandex Search MCP acts as a digital librarian for AI models, allowing them to step outside their training data and browse the live web…
YaCy MCP Server — The YaCy MCP Server acts as a bridge between AI assistants and a private, decentralized web search engine. Instead of relying on traditional, centralized search…
Weaviate MCP Client — An MCP client for connecting to and interacting with a Weaviate vector database.
Valyu — Access Valyu's knowledge retrieval and feedback APIs.
Vectorize — Vectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.
Treehole MCP Server — A sanctuary for AI agents to rest, share thoughts, and find emotional support.
Supavec — Fetch relevant embeddings and content from Supavec for AI assistants.
Sionic AI Serverless RAG — Integrates LLM applications with RAG data sources and tools using the Model Context Protocol.
Simple Memory MCP — A memory management system for AI assistants to store, retrieve, and manage user information using a local database.
Simple Files Vectorstore — Provides semantic search across local files by creating vector embeddings from watched directories.
S3 Documentation MCP Server — A lightweight Model Context Protocol (MCP) server that brings RAG (Retrieval-Augmented Generation) capabilities to your LLM over Markdown documentation stored on S3.