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.

An MCP server that loads and provides multiple OpenAPI specifications, bridging the gap for LLM-driven IDE integration

The AI-assisted Insights Agent is an MCP agent that can transform natural language questions into accurate, interpretable, and reproducible data insights. It translates business questions into SQL queries through a natural language interface, provides interpretable results (including query statements, metric definitions, and data quality), and ensures the reproducibility of analysis. It aims to bridge the gap between business questions and data answers, improving the efficiency and transparency of data analysis.

Createve.AI Nexus is an open - source project that bridges the gap between AI agents and enterprise systems by implementing the Model Context Protocol (MCP) standard. It provides secure, real - time data access and system integration capabilities. It supports multiple AI platforms, has an enterprise - level security architecture, and can connect various business applications, sensor data, and document management systems.

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.

An MCP server that helps users with metacognition by saving questions in LLM learning sessions. It focuses on recording users' questions rather than AI answers, and tracks the learning journey and knowledge gaps in a lightweight way.

A powerful Node.js Express server that provides a comprehensive interface to the CoinGecko cryptocurrency data API, supporting automatic switching between free and Pro APIs.

This project is a Gaphor-based MCP server that supports querying and modifying model elements and creating various diagrams. It is suitable for model validation and documentation inspection in a code environment.

AWorld is a multi - agent system framework aiming to bridge the gap between theoretical MAS capabilities and practical applications, providing a full - set solution from single - agent to multi - agent collaboration/competition. The project supports scenarios such as browser/mobile operations and GAIA benchmark testing, adopts a client - server architecture, integrates a rich toolchain, and includes performance evaluation and training functions.