An orchestrator that coordinates multiple security and quality tools like Semgrep and ESLint to provide comprehensive code analysis and scoring. It enables users to perform vulnerability scanning, architecture metrics, and impact analysis through CLI, REST, or MCP interfaces.
Provides file operations (read/write) with an extensible architecture designed for future C code compilation and executable execution capabilities.
Enables AI-assisted code review with bias mitigation strategies through cross-model evaluation and bias-aware prompting. Detects AI-generated code from commit authors and provides structured reviews with security, performance, and maintainability analysis.
MCP (model context protocol) server for running python code.
Enables efficient code execution in a secure sandbox with 98.7% token reduction by allowing agents to write JavaScript/TypeScript code to interact with tools, process data, and maintain state instead of loading all tool definitions into context.
An MCP server that analyzes and traces business code flows across your codebase, enabling developers to quickly understand the complete execution path of features from frontend to backend to database.
这是一个使用 Python 语言从 0 到 1 搭建 MCP server 的代码学习教程
An AI-powered server for code analysis, requirements validation, and automated fix proposals with human-in-the-loop confirmation. It supports multiple LLM providers and ensures safe file modifications through automatic backups and path validation.
Strict AI code reviewer powered by Groq. Finds bugs, vulnerabilities and security issues in your code. Supports analyze, compare versions, explain code, generate tests, and HTML reports.
A TypeScript MCP server that validates codebases against configurable rules. It analyzes files for violations and generates JSON reports, supporting custom rule definitions and file extensions.
A MCP server for calling MCP tools remotely without requiring installation.
A transport-agnostic MCP server that integrates multiple AI coding agents (Claude Code, Gemini, and Codex) with built-in tools for command execution, calculations, and streaming capabilities. Supports both STDIO and HTTP transports for flexible deployment.
MCP servers collection
mcp-commit-story is a Model Context Protocol (MCP) server designed to capture and generate engineering journal entries within a code repository. The journal captures technical progress, decision-making context, and emotional tone, with the goal of producing content that can later be reused for storytelling (e.g., blog posts, conference talks).
A Model Context Protocol server implementation that enables real-time data communication between web pages and client applications through WebSocket connections.
A dual-protocol MCP server that supports both modern Streamable HTTP and legacy HTTP+SSE protocols, providing backward compatibility for clients while offering advanced features like session resumability.
Provides a complete end-to-end MCP server implementation with file system tools, web scraping capabilities, and system information access. Includes ready-to-use configuration files and integration examples for Claude Desktop, ChatGPT, and other AI models.
A simple GUI for managing MCP servers, for easy toggle mcp servers.
An MCP server that enables sending data to webhooks via HTTP POST for both local and remote team environments. It provides a tool for relaying task descriptions, custom metadata, and automated notifications to external services.
Provides tools for searching Sam's Club products, locating warehouse clubs, and accessing membership information using realistic mock data. It enables AI assistants to interact with product catalogs and store services for development and testing purposes.
