Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.

Hivemind is an Obsidian plugin that provides AI firewall capabilities for fictional world - building, research, and knowledge management. It ensures that AI tools collaborate based on the real information in the user's notes through timeline views, relationship graphs, and canonical workflows, preventing AI hallucinations.

The official NervusDB MCP Server provides functions such as code knowledge graph construction, project analysis, workflow automation, and code operations, supporting cross - language code relationship analysis and GitHub integration

GistPad MCP is a Node.js-based server for managing personal knowledge, daily notes, and reusable prompts via GitHub Gists. It works with the VS Code extension and the GistPad.dev website, supporting access to and editing of Gists from any MCP-compatible AI product.

This project is a list of MCP servers, covering multiple fields such as browser automation, tool integration, system automation, AI services, search, commands, workflow automation, social media, communication, customer data platforms, databases, knowledge storage, development tools, file systems, cloud storage, finance, location services, monitoring, research data, security, travel, data visualization, notes, marketing, identity, etc.

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 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.

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.

A GDPR compliance MCP server that integrates the GDPR knowledge base, compliance workflows, and code analysis tools into the IDE to help developers identify and address data protection requirements in the early stages of development.

Libragen is a local RAG library construction tool used to connect AI assistants (such as Claude) with your actual documents and code libraries. It reduces AI hallucinations by creating a searchable knowledge base, supports building from local files or Git repositories, and is directly integrated into the AI workflow through the MCP protocol.

The InfraNodus MCP Server is a protocol server that integrates knowledge graph and text network analysis capabilities. It can convert text into a structured knowledge graph, identify thematic clusters, content gaps, and conceptual relationships, and provide enhanced analysis capabilities for AI workflows.

sqlew is an MCP server that provides a shared SQL context repository across sessions for AI agents. By recording the reasons for decisions and constraint rules, it prevents context loss and duplicate work, achieving efficient team knowledge management and code consistency.

This is a comprehensive collection of Model Context Protocol (MCP) servers, covering multiple categories such as AI services, art and culture, browser automation, cloud platforms, cloud storage, command lines, communication, customer data platforms, data science tools, databases, developer tools, file systems, finance, games, knowledge and memory, location services, marketing, monitoring, notes, other tools and integrations, research and data, search, security, social media, system automation, travel and transportation, version control, and workflow automation.

Templonix Lite is a locally - prioritized personal AI agent infrastructure that extends the functions of Claude Desktop through the MCP protocol, providing local memory, knowledge base, dynamic workflows, and integration of various tools.

This project is a personal and public knowledge base about the Model Context Protocol (MCP), aiming to explain and explore the working principles, interaction processes, and tool call mechanisms of MCP, including example code, concept analysis, and reference materials.

An MCP server for ComfyUI node discovery and workflow building, providing a knowledge base, dynamic workflow building, real-time execution, and model management tools.

A knowledge base search MCP server project based on AWS Bedrock and Cloudflare Workers, supporting AI assistants to search for document content through the protocol.

An MCP protocol memory and knowledge graph server implemented based on .NET 10 Azure Functions, providing persistent project memory storage for AI assistants, supporting workspace isolation and entity relationship management.

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.