Knowledge & Memory MCP Repositories
22 repositories in this category.
cross-llm-mcp
→An MCP server that enables cross-LLM communication and memory sharing, allowing different AI models to collaborate and share context across conversations.
context7
→Up-to-date code documentation for LLMs and AI code editors.
membase-mcp
→Save and query your agent memory in distributed way by Membase
openzim-mcp
→Modern, secure MCP server for accessing ZIM format knowledge bases offline. Enables AI models to search and navigate Wikipedia, educational content, and other compressed knowledge archives with smart retrieval, caching, and comprehensive API.
MemoryMesh
→Enhanced graph-based memory with a focus on AI role-play and story generation
cognee
→Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources
biel-mcp
→Let AI tools like Cursor, VS Code, or Claude Desktop answer questions using your product docs. Biel.ai provides the RAG system and MCP server.
mcp-ragdocs
→An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context
assistant-mcp
→Connects to your Pinecone Assistant and gives the agent context from its knowledge engine.
markmap-mcp-server
→An MCP server built on [markmap](https://github.com/markmap/markmap) that converts **Markdown** to interactive **mind maps**. Supports multi-format exports (PNG/JPG/SVG), live browser preview, one-click Markdown copy, and dynamic visualization features.
mcp-server-chatsum
→Query and summarize your chat messages with AI prompts.
gistpad-mcp
→In-Memoria
→Persistent intelligence infrastructure for agentic development that gives AI coding assistants cumulative memory and pattern learning. Hybrid TypeScript/Rust implementation with local-first storage using SQLite + SurrealDB for semantic analysis and incremental codebase understanding.
Central-Memory-MCP
→An Azure PaaS-hostable MCP server that provides a workspace-grounded knowledge graph for multiple developers using Azure Functions MCP triggers and Table storage.
server-memory
→Knowledge graph-based persistent memory system for maintaining context
mem0-mcp
→A Model Context Protocol server for Mem0 that helps manage coding preferences and patterns, providing tools for storing, retrieving and semantically handling code implementations, best practices and technical documentation in IDEs like Cursor and Windsurf
mcp-summarizer
→AI Summarization MCP Server, Support for multiple content types: Plain text, Web pages, PDF documents, EPUB books, HTML content
mcp-server
→Retrieve context from your [Ragie](https://www.ragie.ai) (RAG) knowledge base connected to integrations like Google Drive, Notion, JIRA and more.
memory-mcp
→An MCP server that stores and retrieves memories from multiple LLMs using MongoDB. Provides tools for saving, retrieving, adding, and clearing conversation memories with timestamps and LLM identification.
zettelkasten-mcp
→A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, and search atomic notes through Claude and other MCP-compatible clients.
mcp-zotero
→A connector for LLMs to work with collections and sources on your Zotero Cloud
ApeRAG
→Production-ready RAG platform combining Graph RAG, vector search, and full-text search. Best choice for building your own Knowledge Graph and for Context Engineering
