Provides a comprehensive suite of tools for agents to access Deva Agent Resources, including social networking, AI-powered generation, web search, and file storage. It supports automated USDC payment flows for paid resources and integrates with major MCP clients like Claude Desktop and Cursor.
Developer Knowledge OS — local-first bimodal workspace for humans (TUI) and AI agents (MCP). Manage Git repos, vault notes, and assets with 19 MCP tools including unified project context queries.
MCP server integrating Autodesk Platform Services, exposing tools for LLM clients like VS Code Copilot, with OAuth authentication and agentic workflow support.
45+ first-class, OS and backend specific MCP tools that let AI coding agents create, manage, read, edit, and write files inside dev containers, keeping your machine clean and your environment reproducible and deploy-friendly. Use local Docker, GitHub Codespaces, Azure, AWS, Google Cloud or Kubernetes seamlessly!
Enables AI-powered creation, configuration, and management of DevContainer environments using natural language prompts. Supports 11+ templates for popular development stacks and provides container lifecycle operations through VS Code, Cursor, or any MCP-compatible editor.
DevContext is a cutting-edge Model Context Protocol (MCP) server designed to provide developers with continuous, project-centric context awareness. Unlike traditional context systems, DevContext continuously learns from and adapts to your development patterns and delivers highly relevant context providing a deeper understanding of your codebase.
An autonomous MCP server providing project-centric context awareness through keyword analysis, relationship graphs, and structured metadata retrieval. It enables intelligent codebase understanding and task management workflows by continuously learning from development patterns and conversations.
Streamline technical workflows with a comprehensive suite of data transformation and validation utilities. Convert between diverse formats like JSON, CSV, and Markdown while managing encodings and id…
- 安装状态
- 已补齐
命令预览
npx -y smithery mcp add aparajithn/agent-utils
全面解析DevenvmcpMCP 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,Devenvmcp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 dev-env-sentinel
Devexpress Documentation MCP Server
mcp-remote
DevExpress documentation at your AI's fingertips.\\r\\n\\r\\n
- 安装状态
- 已补齐
命令预览
npx mcp-remote https://api.devexpress.com/mcp/docs [object Object]
A personalized developer community reader that enables AI assistants to provide unified digests, search, and thread summaries across Hacker News, Lobsters, Reddit, and Dev.to. It supports advanced features like Hacker News reply notifications and hiring thread filtering without requiring external accounts or API keys.
DevFlow is an MCP server project
A production-ready MCP server that provides AI assistants with comprehensive GitHub developer tooling including PR analysis, code review, changelog generation, dependency auditing, commit summarization, and refactoring suggestions.
An AI-powered code consultation server that routes programming queries to specific AI models based on requested expertise levels. It enables users to receive structured feedback on debugging, architectural decisions, and code reviews from Gemini, Claude, or GPT.
全面解析MCP Sample ServerMCP 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 Sample Server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
npm install @modelcontextprotocol/sdk zod
Enables retrieval of simulated device logs (activation, LAN, WLAN) and Kafka status for testing purposes by querying with device serial numbers.
Provides cross-platform device information including system specs, battery status, storage, and memory details for Windows, macOS, Linux, and Android through a Model Context Protocol server.
全面解析Dev Kit MCP ServerMCP 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,Dev Kit MCP Server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 dev-kit-mcp-server
An MCP server that automates the full software development lifecycle through an AI-driven TDD state machine. It handles everything from task decomposition and test-driven development to integration testing and automated pull request creation.
A Mcp server using claude and duckduckgo


