Awesome MCP Servers is a comprehensive collection of Model Context Protocol (MCP) servers, covering 7,158 MCP servers divided into 33 categories, including AI integration, art and media, browser automation, cloud services, databases, developer tools, file systems, finance, gaming, hardware, healthcare, infrastructure, knowledge management, location maps, marketing, monitoring, multimedia processing, operating systems, project management, scientific research, security, social media, travel and transportation, utilities, and version control, etc.

ATLAS is an intelligent task and knowledge management system built on TypeScript and Neo4j, designed for LLM agents, providing a three - layer management architecture for projects, tasks, and knowledge.

A general resource management system that supports the management of multiple resource types (papers, web pages, books, etc.) and integrates with the knowledge graph, providing structured notes and status tracking functions.

Memory Bank is a project knowledge management system based on the MCP protocol that automatically generates structured documents through AI to help teams efficiently manage project knowledge.

A flexible resource management system that supports managing multiple types of resources (papers, web pages, books, etc.) and integrating with knowledge graphs, providing functions such as unified identification, structured notes, and status tracking.

MCP Notes is a personal knowledge management system based on the Model Context Protocol (MCP), designed to solve the problem of knowledge fragmentation by automatically organizing and retrieving daily notes.

A local scientific paper auxiliary reading system based on the MCP protocol, providing PDF parsing, in-depth mathematical formula parsing, code generation, and visualization functions, supporting local LLM enhancement and knowledge management.

An enterprise - level AI assistant system based on the Model Context Protocol, with intelligent server selection, text analysis, code review, sentiment analysis, and knowledge management functions, providing an aesthetically pleasing Web interface.

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

NeoCoder is an AI programming assistance system based on the Neo4j knowledge graph. It enables the interaction between AI assistants and the knowledge graph through an MCP server, providing standardized coding workflows, dynamic instruction manuals, and project memory functions. The system supports multiple operation modes (incarnations), including basic programming, scientific research, decision - making analysis, complex system modeling, knowledge graph management, and code analysis. It stores workflow templates and execution records in Neo4j to ensure the traceability and standardization of the coding process.

Memory Bank MCP is a project knowledge management system based on the Model Context Protocol (MCP). It helps teams manage project knowledge through AI - generated and structured documentation, including six core document types such as project goals, product context, system architecture, technical details, current tasks, and progress.

Wisdom Forging is a powerful knowledge management system that efficiently stores and retrieves experience, insights, and best practices through the Qdrant vector database.

An MCP server based on TypeScript, designed for the interaction between LLM and the Obsidian knowledge base, providing functions such as file operations, search systems, and property management.

The Mem0 MCP server is a Model Context Protocol (MCP) service for integrating AI assistants with the Mem0.ai persistent memory system, providing functions for memory storage, retrieval, search, and management, and supporting multiple memory types and advanced features such as knowledge graph construction.

A persistent memory server based on knowledge graphs that supports remembering user information across sessions and accumulating experience through an error - learning system. It provides functions for entity - relationship management, observation record storage, and error - solution management, and can be integrated into the Cursor MCP client.

A fully functional LightRAG MCP server that provides 22 complete tools, covering four major functional modules: document management, query operations, knowledge graphs, and system management, achieving 100% compatible integration with the LightRAG API.

Memento is a knowledge graph memory system based on SQLite, providing persistent memory functions, supporting full - text retrieval and semantic search, and realizing intelligent context retrieval through BGE - M3 embedding. It is suitable for technical and creative project management.

The HUDU MCP Server is a model context protocol server integrated with the HUDU technical documentation and customer information management system, allowing large language models to obtain customer account information, knowledge base articles, asset data, etc. through API interaction.

A universal resource management system that supports managing multiple types of resources (papers, web pages, books, etc.) and integrating with knowledge graphs, providing functions such as resource identification, note - taking, status tracking, and entity association.

MCPKG is a knowledge graph system implemented in Go language, providing storage, management, and query functions for structured information through the Model Context Protocol (MCP), and supporting semantic triple operations and persistent storage.

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.

An implementation of a persistent memory server based on knowledge graphs, supporting cross - session memory of user information and an error learning system, including core functions such as entity management, relationship establishment, observation recording, and error lessons.

A comprehensive chat support system, including a React front - end and a Node.js back - end, with features such as real - time messaging, knowledge base management, and multi - tenant architecture.

The Neo4j MCP project connects LLMs with external systems through a standardized protocol to enable natural - language operation of Neo4j databases, knowledge graph storage, and Aura cloud service management.