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.

A service based on the Model Context Protocol (MCP) that supports the specification-driven development process, guiding developers through a systematic development process from requirement generation, design documents to code implementation via structured prompts.

A text editing system integrated with Claude Desktop, which realizes text selection, editing, and automatic replacement functions at the macOS system level through the MCP protocol, supporting custom prompts and desktop notifications.

rs_filesystem is a simple file system toolset that can be used in the Claude desktop or other MCP clients, providing functions for displaying resources, prompts, and tools, and communicating through the MCP protocol.

The MCP Prompts Server is a service system for managing and applying AI prompt templates, supporting multi-format conversion, variable replacement, and resource integration. It can work in collaboration with other MCP services.

PromptLab is an intelligent system that optimizes basic user queries into AI system prompts through MLflow integration, providing dynamic template matching and parameter extraction functions.

The AI Studio MCP Server is a model context protocol server integrated with Google AI Studio/Gemini API, providing content generation functions that support files, conversation history, and system prompts.

Achieve seamless integration between Claude Desktop and the API through the MCP server, break through the limitations of the professional version, and support custom system prompts and conversation management.

Agent Care is a server based on the MCP protocol, providing medical tools and interaction prompts for electronic medical record systems such as Cerner and Epic, and supporting access to FHIR data and medical resources.

The Model Context Protocol (MCP) is an open - source protocol released by Anthropic, aiming to solve the standardization problem of connecting large language models (LLMs) with external data sources and systems. It provides a structured framework that enables models to integrate and utilize external context, thereby expanding their capabilities and improving response accuracy. MCP supports functions such as knowledge expansion, external tool calls, and pre - written prompts.

Achieve seamless integration between Claude Desktop and the API through the MCP server, break through the limitations of the Pro version, and provide advanced conversation management functions.

An MCP server project that implements a simple note storage system, providing note URI access, summary prompts, and addition tool functions

A general-purpose Model Context Protocol (MCP) server that allows any LLM or AI agent to access expert skills in the local file system. Enables cross-platform skill sharing through structured prompts and supports lazy loading to save context tokens.

SuperAgent is an MCP server that uniformly calls the Codex, Gemini, and Continue CLI agents. It supports parallel task execution, manages preset system prompts, and provides structured tool calls to clients through the MCP protocol.

This project guides you on how to build a client-host-server system based on the MCP protocol, including a FastAPI server, an MCP client, and an SSE streaming server. It enables the interaction of resources, tools, and prompts and supports integration with the Claude desktop application.

The HomeyPro MCP server is a model context protocol service for interacting with the HomeyPro smart home system. It provides paginated access and comprehensive management functions for devices, zones, and processes, including features such as AI intelligent prompts and resource caching.

The Model Context Protocol (MCP) is a standardized protocol introduced by Anthropic for the interaction between large language models (LLMs) and external tools and functions, as well as for injecting context into LLMs. It enables models to request real-time information, perform operations in external systems, access professional knowledge bases, and interact with APIs and services. The MCP is similar to a USB hub, serving as a standard interface that reduces the risk of API changes because each MCP server is maintained by its own company, and users only need to integrate it. The MCP server provides three functions: tools, resources, and prompts.

An MCP server built on TypeScript and the Gmail API, implementing simple note system functions, including note resource management, creation tools, and summary generation prompts.

The MCP Auto Tool Switcher is a modular MCP server system for managing multiple MCP servers and their tools, prompts, and resources. It supports cross-platform operation and intelligent tool forwarding.

This project achieves seamless integration between Claude Desktop and the API through the MCP server, providing advanced features such as system prompts and conversation management, supporting multiple Claude models, and allowing users to flexibly switch between the professional version and API usage.