# Knowledge Management

Rememberizer's MCP server provides the ability to interact with document and knowledge management APIs for large language models

The Logseq MCP Server is a model context protocol server that provides direct integration with Logseq knowledge bases, enabling LLMs to interact programmatically with Logseq graphs.

WisdomForge is an intelligent knowledge management system based on the Qdrant vector database, capable of efficiently storing and retrieving various experiences, insights, and best practices.

Confluence MCP is a standardized AI assistant interaction interface that supports Confluence operations such as content retrieval, creation and update, comment and attachment management.

An Obsidian plugin that provides local MCP server capabilities, enabling external applications to interact with the Obsidian library through standardized interfaces, including file operations, semantic search, etc.

Basic Memory is a tool for building persistent knowledge through natural conversations with large language models (LLMs). It stores data locally in Markdown files and implements the MCP protocol for two - way knowledge management.

Obsidian's MCP Tools plugin provides AI applications with the ability to securely access the knowledge base

The Notion MCP server is a protocol service that connects AI models to the Notion workspace through the official SDK, providing a comprehensive set of Notion operation tools.

The Anytype MCP server is a model context protocol service based on the Anytype API, allowing AI assistants and other MCP clients to interact with Anytype data, including functions such as querying, creating, and deleting spaces and objects.

Implementation of the Kibela MCP server to enable LLMs to interact with Kibela content

MCP integration service for Confluence and Jira

This project is a GitHub repository for testing and exploring the implementation of the Model Context Protocol (MCP) server, containing sub - projects related to learning multiple programming languages, DevOps tools, game development, and AI.

A document semantic search service based on the Qdrant vector database, supporting URL and local file imports and providing natural language query functions.

MCP Atlassian is an integrated tool that provides Model Context Protocol services for Atlassian products (Confluence and Jira). It supports cloud and server/data - center deployments and can implement functions such as content search, page management, and issue tracking.

This project provides a series of MCP servers and dedicated AI agents to extend Claude's capabilities, including package management, knowledge graphs, reasoning engines, and integration capabilities with multiple platforms.

An intelligent MCP server that acts as a guardian of development knowledge, providing AI assistants with access to the latest documentation and best practices.

MemoDB MCP is a TypeScript - based AI conversation and knowledge management server that provides functions for user management, conversation data storage, and knowledge base operations.

This project provides a set of tools for crawling website content and generating Markdown documents. It also implements semantic search for documents through the MCP server and supports integration with tools such as Cursor.

An MCP server for document retrieval and processing based on vector search, providing document enhancement functions for AI assistants

An MCP service for document retrieval based on vector search, providing relevant document context to enhance the response ability of AI assistants

The Claudesidian MCP Server is a service project that interacts with the Obsidian knowledge base. It provides functions such as note management, web scraping, and memory retrieval, and supports local deployment and extended development.

A server based on the Model Context Protocol for interacting with Rememberizer's document and knowledge management API, enabling large - language models to search, retrieve, manage documents, and integrate.

The RAG Document MCP Server is a vector search-based document processing tool that provides document retrieval and context enhancement functions for AI assistants.

An MCP service for document retrieval based on vector search, providing relevant document context for AI assistants to enhance their answering ability

A service based on FastMCP that provides search functionality for Obsidian note libraries via a REST API interface

An MCP server for interacting with the Logseq personal knowledge management system through custom instructions, providing note retrieval and to-do item management functions

A Python server project based on the MCP protocol, which uses OpenAI's vector storage function to build a RAG system, supporting the creation of vector databases from multiple file formats and semantic search.

An MCP server that connects Obsidian with AI models

The Notion MCP Server project enables interaction between LLMs like Claude and the Notion workspace, supporting functions such as searching, page management, and database operations.

The Dumpling AI MCP Server is a model context protocol server integrating multiple AI functions, providing capabilities such as data scraping, content processing, knowledge management, AI agents, and code execution.