# 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.

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 Capacities MCP server is a service that provides seamless integration for the Capacities knowledge management platform, supporting functions such as space management, content search, web link saving, and daily note taking.

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.

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.

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

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

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.

MCP integration service for Confluence and Jira

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.

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

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

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

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

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

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.

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.

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 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.

A locally run MCP server for managing and retrieving Markdown knowledge base content, supporting various search and organization methods such as by tag, text, and date range.

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.

Memex is a tool based on the Model Context Protocol (MCP) for analyzing web page content and adding it to a knowledge base, supporting Q&A interactions via the Claude API.

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.

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 MCP server that connects Obsidian with AI models

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

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.

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), supporting both cloud and on - premise deployments.