Zero-config MCP server that gives AI coding assistants a real-time diagnostic snapshot of your local dev environment. Detects framework, running services, recent errors, git state, and provides a health diagnosis in one call.
An AI-assisted code review tool that connects to a Supabase backend, enabling automated code review through MCP.
Provides AI agents with access to 284+ development best practices, security guidelines, and coding standards across multiple languages and frameworks including comprehensive Drupal standards and OWASP Top 10 vulnerabilities.
Lookup tool for AI coding agents: 'find me a Rust crate that does X', 'show top StackOverflow answers for this error', 'is there an npm package newer than Y for parsing Z'. Combines five developer-da…
- 安装状态
- 已补齐
命令预览
npx -y smithery mcp add nexgendata-apify/developer-tools-mcp-server
A comprehensive toolkit of 23 developer utilities that enables AI assistants to perform tasks like encoding, cryptography, and data generation locally without requiring API keys. It streamlines workflows by providing tools for JWT decoding, UUID generation, regex testing, and JSON formatting directly within the chat interface.
An open-source DevUtils MCP Server — a comprehensive developer utilities toolkit that provides 36 tools across 8 categories that AI assistants can invoke directly.
全面解析MCP Powershell ExecMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,MCP Powershell Exec能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
Free service management tools — playbooks, benchmarks, and instant service health analysis. DigitalCore MCP gives you free access to service management expertise directly in your AI assistant. Run a Service Reality Check to score your service health in 60 seconds. Access strategy playbooks for ser
Enables automatic generation of UML class diagrams and entity-relationship diagrams from natural language descriptions or structured JSON data. It integrates with MCP agents to create visual representations of code structures and system designs without manual Mermaid coding.
Provides dice rolling and coin flipping functionality for AI assistants via the Model Context Protocol. It enables users to roll single or multiple dice with configurable sides and perform randomized coin tosses.
An MCP server that provides tools for rolling dice using standard notation, flipping coins, and selecting random items from lists. It supports advanced tabletop gaming features such as character stat generation and keep-highest/lowest mechanics.
Provides comprehensive dice rolling, coin flipping, and tabletop RPG mechanics for AI assistants like Claude. It enables real-time tabletop gaming through features such as standard NdM notation, advantage/disadvantage rolls, and D\&D character stat generation.
An MCP server that exposes a DICOMweb-compliant DICOM archive to AI assistants. It lets any MCP-capable client search studies, series and instances, inspect metadata, read Structured and Encapsulated PDF Reports, and render image frames — all through natural language.
公开目录未提供摘要。
A minimal Model Context Protocol server that provides basic utility tools including mathematical operations, text processing, hashing, and JSON validation. Implements JSON-RPC stdio transport for local testing and development.
全面解析MCP Servers E3oMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,MCP Servers E3o能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
- 安装状态
- 已补齐
命令预览
npx -y @modelcontextprotocol/server-github
全面解析Dify MCP ClientMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Dify MCP Client能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
- 安装状态
- 已补齐
命令预览
pip install -r requirements.txt
Allows programmatic management of a Dify instance, including listing and creating datasets, managing applications, and tool providers.
An MCP server that enables querying and managing relationships between websites and mobile apps through Google's Digital Asset Links API, auto-generated using AG2's MCP builder.
A persistent long-term memory system that enables AI clients to store and recall notes, code, and research via semantic search. It utilizes Google Gemini embeddings and Supabase pgvector to provide a secure, searchable 'Second Brain' for MCP-compatible applications.



