# Knowledge management

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.

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

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 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.

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.

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.

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 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.

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.

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.

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.

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.

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

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.

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

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.

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.

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.

Project knowledge base directory for storing professional knowledge and related documents

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.

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.

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 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.