# Knowledge Management

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.

The Obsidian MCP Server is a tool that connects AI assistants with the Obsidian knowledge base. It provides functions such as note reading and writing, intelligent search, and tag management, and supports interaction with Obsidian through the REST API.

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

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.

An HTTP server based on the MCP protocol, providing AGENTS.md knowledge management, structured task tracking, version history recording, and scratchpad functions, supporting multi - user collaboration and AI sub - agent calls.

MCP integration service for Confluence and Jira

Logseq MCP toolset that provides local Logseq interaction capabilities for AI agents

An MCP server that provides semantic search and resource access for the Obsidian knowledge base

MCP Obsidian is a model context protocol server designed for the Obsidian note library, enabling integration with MCP clients such as Claude Desktop and supporting note search, reading, and writing functions.

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 Obsidian Semantic MCP Server is an AI - optimized knowledge management tool that integrates more than 20 functions through 5 semantic operations, providing intelligent workflow suggestions and context - aware editing functions. The project has been upgraded to a native Obsidian plugin, providing better performance.

An intelligent agent for handling programming assistance tasks, supporting functions such as knowledge management, documentation-driven development, code review, and test management.

This extension integrates the Basic Memory knowledge base system into the Zed Editor's assistant function, enabling the construction of a persistent knowledge base through natural conversations and storing it as Markdown files on a local MCP server.

A RAG service based on the Qdrant vector database and Ollama/OpenAI embedding, providing document semantic search and management functions.

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.

MEMEX is a knowledge management server based on the MCP protocol, used to manage technical guides and AI context, providing functions for creation, search, update, and deletion, and supporting semantic search and integration with Claude AI

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.

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

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

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

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 share them across tools.

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

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.

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.

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.

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

The Heptabase backup data MCP service provides functions for searching, retrieving, analyzing, and exporting whiteboards and cards, supporting multiple format outputs and intelligent caching

MaxKB is an open-source AI assistant designed specifically for enterprises. It supports the RAG process, workflow engine, and multimodal interaction, and is suitable for scenarios such as intelligent customer service and knowledge bases.

The DeepLucid3D UCPF Server is an MCP service based on the Unified Cognitive Processing Framework, providing tools for advanced cognitive analysis, creative problem-solving, and structured thinking.

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.