# Knowledge management

zk - mcp is an MCP server used to integrate zk - managed notes with LLMs, aiming to enable LLMs to efficiently access the knowledge base managed by zk.

An MCP server based on TypeScript, designed for the interaction between LLM and the Obsidian knowledge base, providing functions such as file operations, search systems, and property management.

MCP Atlassian is a Model Context Protocol server designed for Atlassian products (Confluence and Jira), supporting both cloud and on-premises deployments and providing AI assistant integration functions.

The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.

Agent Knowledge MCP is a comprehensive knowledge management solution that integrates Elasticsearch search, file operations, document validation, and version control functions, providing powerful knowledge management capabilities for AI assistants.

An advanced Obsidian MCP server that interacts with Obsidian through the Local REST API plugin, enabling AI agents to deeply understand and manage the knowledge base, including functions such as file operations, search, note management, and library analysis.

An MCP server that provides persistent semantic memory capabilities for Claude Code, supporting cross - session information storage and semantic retrieval, using local embeddings and a PostgreSQL database.

The Guru Remote MCP server provides secure and real-time access to the enterprise knowledge base for AI assistants and development tools through the model context protocol, supporting knowledge retrieval, card management, and permission control.

Hivemind is an Obsidian plugin that provides AI firewall capabilities for fictional world - building, research, and knowledge management. It ensures that AI tools collaborate based on the real information in the user's notes through timeline views, relationship graphs, and canonical workflows, preventing AI hallucinations.

An example project of an intelligent customer service system based on the MCP framework

Wisdom Forging is a powerful knowledge management system that efficiently stores and retrieves experience, insights, and best practices through the Qdrant vector database.

An advanced Obsidian MCP server that interacts with Obsidian through the Local REST API plugin, enabling AI agents to deeply understand the knowledge base structure, links, and content, and providing functions such as file operations, search, note management, and knowledge base analysis.

ObsidianFetch is an MCP server dedicated to retrieving and displaying information from the Obsidian knowledge base. It solves the problems of slow response and cumbersome operations of existing servers, and adds the functions of automatically processing links and displaying backlinks.

GistPad MCP is a Node.js-based server for managing personal knowledge, daily notes, and reusable prompts via GitHub Gists. It works with the VS Code extension and the GistPad.dev website, supporting access to and editing of Gists from any MCP-compatible AI product.

A Python - based Obsidian MCP standard IO server that provides Vault and file management functions and supports integration with LLM Agents.

The Roam Research MCP Server is a tool that provides a standardized interface for AI assistants and supports in - depth interaction with the Roam Research knowledge graph.

The Anytype MCP Server is a service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with the Anytype API through natural language. It transforms the OpenAPI specification of Anytype into MCP tools, enabling knowledge base management through conversations.

Project knowledge base directory for storing professional knowledge and related documents

Supermemory is an AI-driven memory engine designed to provide contextual knowledge for LLMs by integrating personal data, enabling intelligent management and retrieval of information.

MCP-RTFM is an intelligent document management server that automatically creates and maintains high-quality project documents through content analysis and metadata generation.

An MCP server based on the Zettelkasten knowledge management method, which allows users to create, link, explore, and synthesize atomic notes through MCP - compatible clients like Claude to build and manage a personal knowledge graph.

Memory MCP is an MCP server that provides persistent memory for AI assistants. Through a two - tier architecture of hot cache and cold storage, it enables zero - latency automatic injection of high - frequency knowledge and semantic search, allowing Claude to remember project contexts and reduce repeated explanations.

The Knowledge RAG System is a local retrieval - augmented generation system that integrates with Claude Code through the MCP protocol. It supports hybrid search (semantics + keywords) for multiple document formats such as PDF and Markdown, and provides keyword routing functions, suitable for personal knowledge base management.

The Tinderbox MCP Server is a service that enables AI assistants (such as Claude) to interact with the Tinderbox knowledge management application through the Model Context Protocol (MCP), supporting the operation of Tinderbox documents using natural language, including creating notes, updating attributes, and linking notes.

An MCP server that connects to the Obsidian knowledge base. Through the REST API plugin, AI agents can perform complex knowledge discovery and analysis tasks, supporting functions such as advanced search, regular expression matching, and full - text retrieval.

A server project based on the MCP protocol that allows LLM to load, control, and analyze Game Boy games through the PyBoy emulator, providing functions such as game state saving and knowledge management.

A knowledge management server based on the Model Context Protocol that provides centralized storage of project documents, a searchable knowledge base, integrated TODO management, and Git version control functions, and provides persistent memory support for AI assistants.

Obsidian MCP is a tool that interacts with the Obsidian knowledge base through the Model Context Protocol, supporting AI assistants to read, write, and manipulate notes.

The Memphora MCP Server provides persistent memory functionality for AI assistants such as Claude, supports memory storage, search, and automatic context extraction, and enables information retention across conversations.

A local long - term memory system based on the Mem0 and MCP protocols, providing persistent knowledge storage, retrieval, and management functions for AI agents.