# Knowledge management

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.

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.

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 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.

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.

Lspace is an open-source API backend and server that implements the Model Context Protocol (MCP), helping developers transform insights from AI conversations into a searchable and persistent knowledge base and integrate it into various tools.

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.

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.

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

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.

This project implements an MCP server based on the Pinecone vector database, supporting read and write operations on vector data, capable of processing PDF and Confluence data, and providing functions such as document search, vector addition, bulk processing, and data deletion.

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.

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 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.

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.

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.

A personal knowledge management system that combines spaced repetition memory, integrated with Claude through MCP, supporting note - taking and creating intelligent flashcards to help users learn and remember efficiently.

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

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.

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.

Obsidian GitHub MCP is a protocol server that connects AI assistants with Obsidian knowledge bases on GitHub. It supports reading, searching, and analyzing note documents stored on GitHub, enabling intelligent access to knowledge bases and integration with project management.

Huuh MCP Server is a collaborative AI service that connects AI applications with the huuh.me platform, providing functions such as knowledge base management, team collaboration, and AI role switching, and supporting content retrieval, contribution, and sharing.

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.

The privateGPT MCP Server is a server implementation based on the Model Context Protocol (MCP), allowing users to interact with privateGPT through an MCP client and supporting functions such as chat, knowledge source management, and permission control.

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.

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.