# Knowledge Management

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.

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 code - mode - based Tana knowledge management MCP server. AI interacts with the Tana local API by writing TypeScript code, supporting operations such as workspaces, nodes, tags, fields, calendars, and imports.

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 integration service for Confluence and Jira

A server project based on FastMCP that provides the function of searching the Obsidian note library through a REST API interface.

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

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

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.

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.

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

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.

The Neemee MCP client library is a TypeScript library for interacting with the Neemee personal knowledge management system through the Model Context Protocol (MCP). It supports two transport modes, HTTP and STDIO, provides tool APIs for creating, updating, searching notes and notebooks, as well as resource APIs for obtaining system information and resource lists, and includes complete TypeScript type support and error handling mechanisms.

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.

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.

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.

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

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.

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

The privateGPT MCP Server is a server implementation based on the Model Context Protocol (MCP), allowing users to seamlessly integrate with the privateGPT API through an MCP client to achieve functions such as chat, knowledge source management, and permission control.

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.

Oracle Nightly is an MCP server based on TypeScript, providing semantic search functions for Oracle philosophical knowledge. It combines SQLite FTS5 full - text search and ChromaDB vector search, and includes an HTTP API and command - line tools.

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.

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.

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.

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

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.

TurboVault is a production-level MCP server that transforms an Obsidian knowledge base into an AI-driven intelligent knowledge system. It provides 44 professional tools for reading, writing, searching, analyzing, and managing notes, with a performance of less than 100 milliseconds.

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.