Provides AI-powered selection and generation of specialized system prompts from a database of over 66 templates for Claude Code. It uses semantic search to find the best matching template and can adapt it to fit specific user tasks and contexts.
Test suite for validating MCP server implementations against the open MCP protocol specification. Helps developers ensure protocol compliance and interoperability.
A Model Context Protocol server that provides tools for querying SPARQL endpoints, with specialized support for Proto-OKN knowledge graphs hosted on the FRINK platform.
Enables AI-assisted penetration testing by connecting MCP clients to a Windows API server for executing penetration testing tools like nmap, ffuf, nuclei, and other security tools. Allows AI agents to perform automated security assessments, solve CTF challenges, and assist with ethical hacking tasks through natural language commands.
An MCP server that enables users to search for Publix products, find store locations, and browse weekly deals. It provides detailed information including product prices, aisle locations, and store operating hours.
Enables querying PVGIS solar radiation and typical meteorological year data through natural language questions, using tools for monthly irradiation averages and hourly synthetic climate data.
Integrates Pyrefly's real-time Python type checker with a gamification system that rewards fixing code errors with lollipops, using psychological manipulation to encourage LLMs to actively hunt for and fix all errors including imports.
Provides tools for Python code navigation, analysis, and refactoring, including finding definitions, references, and symbol lists. It enables automated tasks such as renaming symbols and organizing imports to enhance AI-driven development.
Enables Python code linting by integrating the Model Context Protocol with tools like pylint and the OpenAI API. It allows for dynamic tool discovery and uses LLMs to orchestrate tool selection and provide refined analysis of linting results.
Provides interactive Python REPL capabilities with persistent sessions, virtual environment support, package management via uv, and development tools like testing, linting, and code formatting for Python projects.
Repository created via custom MCP Python server
A Model Context Protocol server that provides semantic understanding of codebases using Qdrant vector database, enabling AI assistants to search files by purpose, discover relationships between files, analyze architecture, and identify refactoring opportunities.
Docker configuration for Qdrant MCP server
A server that connects large language models to QR code generation capabilities via Model Context Protocol, supporting multiple content types (URLs, WiFi credentials, contacts, text), output formats, and customization options.
Provides comprehensive code quality tools including linting, security scanning, TypeScript checking, and testing through a single MCP server. Integrates multiple quality analysis tools like Biome, ESLint, and Playwright for streamlined development workflows.
MCP client/server example using qwen3
MCP servers in your Rails app
A Model Context Protocol (MCP) server that automatically discovers, fetches and processes react components from popular react libraries like Aceternity and Shadcn
MCP server that combines Read+Edit file operations into single tool calls. 80-95% fewer tool calls formulti-file refactoring across Claude, Cursor, Windsurf, and more.
A starter template for building Model Context Protocol servers that integrate with AI assistants like Claude and Cursor, providing custom tools, resource providers, and prompt templates.
