Home / Model Context Protocol / Categories / Knowledge & Memory

Knowledge & Memory

Persistent memory storage using knowledge graph structures. Enables AI models to maintain and query structured information across sessions.

GistPad-MCP

📇 🏠

Use GitHub Gists to manage and access your personal knowledge, daily notes, and reusable prompts. This acts as a...

View details →

pinecone-io/assistant-mcp

🦀 ☁️

Connects to your Pinecone Assistant and gives the agent context from its knowledge engine.

View details →

mem0ai/mem0-mcp

🐍 🏠

A Model Context Protocol server for Mem0 that helps manage coding preferences and patterns, providing tools for...

View details →

graphlit-mcp-server

📇 ☁️

Ingest anything from Slack, Discord, websites, Google Drive, Linear or GitHub into a Graphlit project - and then...

View details →

modelcontextprotocol/server-memory

📇 🏠

Knowledge graph-based persistent memory system for maintaining context

View details →

topoteretes/cognee

📇 🏠

Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources

View details →

CheMiguel23/MemoryMesh

📇 🏠

Enhanced graph-based memory with a focus on AI role-play and story generation

View details →

entanglr/zettelkasten-mcp

🐍 🏠

A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing...

View details →

kaliaboi/mcp-zotero

📇 ☁️

A connector for LLMs to work with collections and sources on your Zotero Cloud

View details →

unibaseio/membase-mcp

📇 ☁️

Save and query your agent memory in distributed way by Membase

View details →

hannesrudolph/mcp-ragdocs

🐍 🏠

An MCP server implementation that provides tools for retrieving and processing documentation through vector search,...

View details →

mcp-summarizer

☁️

AI Summarization MCP Server, Support for multiple content types: Plain text, Web pages, PDF documents, EPUB books,...

View details →