# Knowledge management

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

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.

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.

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.

This is an MCP document Q&A server based on the GroundX API that supports uploading documents and conducting intelligent Q&A on the document content.

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.

Memory Bank is a project knowledge management system based on the MCP protocol that automatically generates structured documents through AI to help teams efficiently manage project knowledge.

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

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.

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

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.

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.

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.

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

The SourceSync.ai MCP server is a service that implements the Model Context Protocol (MCP) for standardized interaction with the SourceSync.ai knowledge management platform, providing functions such as knowledge base management, content ingestion, document retrieval, and search.

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.

Project knowledge base directory for storing professional knowledge and related documents

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.