# Knowledge Management

This analysis report summarizes the most interesting MCP (Model Context Protocol) servers discussed on the X platform on March 19, 2025, focusing on their practicality in AI - driven workflows. Through discussions and blog posts on the X platform, the report identifies the most popular and recommended MCP servers, including Reddit, Notion, Google Sheets, Gmail, and Discord, which are favored for their automation capabilities and ease of use. In addition, servers with specific functions such as SendAI Kit and Dolphin - MCP, as well as pre - built servers provided by Anthropic, are also mentioned.

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

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.

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

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.

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.

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

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.

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

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.

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

The SourceSync.ai MCP Server is a standardized implementation of a knowledge management platform interface that allows AI models to interact with the SourceSync.ai platform through the MCP protocol.

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

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.

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

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.

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.

An MCP server that connects Obsidian with AI models

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.

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.

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.

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 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 to enhance the response ability of AI assistants

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