# Knowledge Management

MCP integration service for Confluence and Jira

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.

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.

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 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.

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

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

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

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.

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.

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.

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

Kibela MCP Server is a Model Context Protocol server for the knowledge management tool Kibela, which supports operating documents and folders in Kibela through AI clients.

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.

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

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

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