全面解析MCP Investments SampleMCP 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 Investments Sample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。
全面解析Codesandbox MCPMCP 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,Codesandbox MCP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 @techlibs/codesandbox-mcp@latest --
An MCP server to create secure code sandbox environment for executing code within Docker containers. This MCP server provides AI applications with a safe and isolated environment for running code while maintaining security through containerization.
A secure Model Context Protocol server that allows AI assistants and LLM applications to safely execute Python and JavaScript code snippets in containerized environments.
Enables LLMs to perform high-performance code search and analysis across multiple languages using symbol indexing, regex text search, and structural AST pattern matching. It also provides tools for technology stack detection and dependency analysis with persistent caching for optimized performance.
High-performance code understanding toolkit that enables batch reading of multiple files with dependency context, structural outline extraction with Java annotation awareness, and precise location of classes/methods across large codebases.
Provides semantic code intelligence to help users search, navigate, and analyze entire codebases using plain English. It enables Claude to perform architectural overviews, bug detection, and refactor suggestions through local semantic search and keyword indexing.
Expose security vulnerabilities, deceptive constructs, and unfinished code before they reach production. Reveal architectural and design pattern usage with clear, actionable guidance to improve consi…
- 安装状态
- 已补齐
命令预览
npx -y smithery mcp add salrad/code-sentinel
全面解析Code SentinelMCP 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,Code Sentinel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 code-sentinel-mcp
Enables AI agents to efficiently read Python code by first providing file skeletons then fetching only needed implementations, reducing noise and cost.
全面解析Code Snippet ManagerMCP 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,Code Snippet Manager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。
A MCP server for managing and storing code snippets in various programming languages, allowing users to create, list, and delete snippets via a standardized interface.
全面解析Code Snippets (S3)MCP 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,Code Snippets (S3)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。
全面解析Code SummarizerMCP 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,Code Summarizer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 your-path-to-code-summarizer/bin/code-summarizer.js server\"
Enables CODESYS development assistance via MCP, including curated guidance, Structured Text writing help, local PDF search, and live official documentation lookup.
Exposes the codetoprompt library to LLM agents for generating comprehensive prompts from directories and retrieving specific file contents. It enables codebase analysis through detailed statistics like token counts and file type breakdowns.
A stateful, AST-aware MCP server for structured code review workflows. It enables iterative review sessions with AST-based context localization and provides structured feedback with verdicts and patch suggestions for JavaScript/TypeScript code.
AI-powered code-review toolkit: MCP server + CLI to analyze GitHub PRs with local LLM smells, cloud LLM summaries, inline comments, risk gating, and test stub generation.
Codevira MCP provides persistent memory and project context for AI coding agents by maintaining a shared knowledge base of decisions, roadmaps, and code relationships across sessions. It enables semantic code search and automated context tracking to ensure consistency and reduce token overhead during complex development tasks.
An MCP server that indexes Python codebase structures to help AI assistants discover and reuse existing functions instead of duplicating code. It enables real-time searching of function metadata, duplicate detection, and structural analysis across multiple projects.




