MCP Compass is an intelligent discovery and recommendation service that helps users explore and utilize Model Context Protocol (MCP) servers.

PentestThinkingMCP is an automated penetration testing framework based on large language models and the MCP protocol. It can plan attack paths through Beam Search and MCTS algorithms, providing step reasoning, tool recommendation, and key path analysis for CTF, HTB, and real - world penetration testing.

AWS Security MCP is a service based on the model context protocol that allows AI assistants to independently check and analyze security issues in AWS infrastructure through natural language queries. It supports multiple AWS security services, including IAM, EC2, S3, etc., and provides security recommendations and threat modeling reports.

A server that provides model context protocol services for Dify AI, supporting chat completion functions and a restaurant recommendation tool.

The Copus MCP server is a server based on the model context protocol that allows AI assistants to search for and retrieve human-curated content recommendations from the Copus platform. Copus is a discovery platform where real people recommend and explain the value of content, different from algorithm-driven search results. The server provides tools for searching curated content and obtaining detailed information, and is compatible with multiple AI platforms that support MCP.

This is an experimental Observe MCP server project that provides API interaction capabilities with the Observe platform, including tools for executing OPAL queries, exporting worksheet data, and managing monitors. It enables semantic document search and troubleshooting manual recommendation through the Pinecone vector database, providing a secure data access bridge for technical LLM models.

This project is an integration tool between the Strava API and the Model Context Protocol (MCP) SDK, used to analyze training data and provide personalized recommendations. It supports functions such as training activity analysis, automatic token update, and API request rate limit.

A server based on the Model Context Protocol (MCP) that provides access to Laravel documentation and extension package recommendation functions, supporting AI assistants and language models to obtain Laravel-related resources.

A D3.js Model Context Protocol (MCP) server based on TypeScript and Express, providing D3 visualization documentation, chart recommendation, and code generation functions.

MCPVerified is the authoritative guide to the Model Control Protocol ecosystem, providing carefully selected recommendations based on practical experience, focusing on TypeScript development, security, performance optimization, and developer experience.

This project is an integration solution of the Strava API and the Model Context Protocol (MCP) SDK, used to analyze training data and provide personalized recommendations.

MCP Assistant Server is an intelligent task analysis and tool recommendation server that integrates large language models, provides functions such as task analysis, tool recommendation, and context management, and supports use in development environments such as Cline and Cursor.

This project uses the Quarkus framework and the Model Context Protocol (MCP) to implement an intelligent agent application based on multiple MCP servers. It combines LangChain4j to provide functions such as AI dialogue, restaurant recommendation, and Slack notification, and supports deployment in development and production environments.