# Knowledge 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.

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

The Logseq MCP tool project provides a set of tools that allow AI agents to interact with local Logseq instances, including page and block management functions.

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 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.

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.

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

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

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.

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.

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 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 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.

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

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

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.

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

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

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.

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.

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 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.

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.

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.

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.