mcp-scraper-engine

Model Context Protocol server for Bugzilla. Enables AI apps to interact with Bugzilla bug tracking systems.

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

Loop your agents into environment management, and give them access/context to run tests, tail environment logs, start/stop environments, and debug remote issues.

一个强大的 MCP (Model Context Protocol) 服务器，用于智能读取 Java 源代码。支持从 Maven 依赖和本地项目中提取源码，配备双反编译器（CFR/Fernflower）自动选择机制，智能处理 SNAPSHOT 版本，完美支持多模块项目，让 AI 助手能够深入理解你的 Java 代码库。

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

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Transform AI prompts with intelligent context detection, 50+ professional optimization techniques, and seamless team collaboration. Integrated with Claude Desktop, Cursor, Windsurf, and 17+ MCP clients. • **100% Local Processing** - All prompt optimization is done on your machine, ensuring complete privacy and confidentiality. • **Offline Capability** - Works without an internet connection, making it ideal for secure or air-gapped environments. • **Advanced Local Prompt Intelligence** - Sophisticated content analysis and optimization performed directly on your machine, including context-aware optimization for debugging and technical prompts. • **Cross-Platform Support** - Universal compatibility for Windows, macOS, and Linux. • **Binary Integrity Verification** - SHA256 hash validation ensures the integrity of the local server. • **Technical Parameter Preservation** - Maintains code blocks, API calls, and other technical details during optimization, including parameters like --ar and --v. • **Debugging Scenario Detection** - Context-aware optimization tailored for debugging and technical prompts.

Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors

Create a remote sandbox that can execute code/run commands/upload and download files. 创建远程沙盒，可以执行代码/运行命令/上传下载文件

Debug your remote Node.js and Next.js applications directly from your AI IDE like Cursor.

An intelligent Model Context Protocol (MCP) server that automatically generates comprehensive unit tests for Angular, React, and Next.js projects using Jest, Karma/Jasmine, or other testing frameworks. Features 🔍 Automatic Project Detection - Detects Angular, React, or Next.js projects and their versions 📦 Framework Management - Checks for testing frameworks and offers automated installation 📚 Live Documentation Fetching - Retrieves latest Jest and Jasmine documentation before generating tests 🤖 LLM-Powered Generation - Uses Claude Sonnet 4.5+ for intelligent test generation 🎯 High Coverage Target - Generates tests targeting >85% code coverage ✅ All Public Methods - Creates tests for all exported functions and public class methods 🔄 Side-by-Side Validation - Displays source and test code for easy review 🛠️ Multiple Frameworks - Supports Jest, Karma/Jasmine, and Vitest

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

A Model Context Protocol Server connector for Perplexity API, to enable web search without leaving the MCP ecosystem.

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

Enables PowerShell console to function as an MCP server for Claude Desktop.

GitLab API, enabling project management

AI image generation using various models

A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

A Model Context Protocol (MCP) server that provides seamless integration with OpenProject API v3.

Our system automatically analyzes your prompts to detect whether they're for image generation (like Midjourney), LLM interaction, or technical automation, then applies the most effective optimization techniques for that context. • **100% Local Processing** - All prompt optimization is done on your machine, ensuring complete privacy and confidentiality. • **Offline Capability** - Works without an internet connection, making it ideal for secure or air-gapped environments. • **Advanced Local Prompt Intelligence** - Sophisticated content analysis and optimization performed directly on your machine, including context-aware optimization for debugging and technical prompts. • **Cross-Platform Support** - Universal compatibility for Windows, macOS, and Linux. • **Binary Integrity Verification** - SHA256 hash validation ensures the integrity of the local server. • **Technical Parameter Preservation** - Maintains code blocks, API calls, and other technical details during optimization, including parameters like --ar and --v. • **Debugging Scenario Detection** - Context-aware optimization tailored for debugging and technical prompts.

The Stack Overflow Model Context Protocol (MCP) enables AI tools and agents to access trusted developer knowledge from Stack Overflow. It standardizes how knowledge is exposed, discovered, and retrieved for use in agent workflows and developer environments.

MCP Advisor & Installation - Use the right MCP server for your needs