The Xray MCP Server is a tool that integrates the Xray Cloud API with MCP clients such as Claude Code. It provides functions such as test case management, test execution, test planning, and test set grouping, and supports CI/CD integration and test automation.

The MCP Server of QA Sphere enables direct interaction between LLM and test cases

An MCP server based on TypeScript that provides integration functions with the Qase test management platform and supports managing various entities such as projects, test cases, and test runs.

ProtoLink AI is a standardized tool encapsulation framework for implementing and managing diverse tools in a unified way, helping developers quickly integrate and start tool - based use cases.

An MCP server that provides a database of Apple App Store review rejection reasons, solutions, and real - world cases for AI assistants, containing 48 rejection reasons, 51 solutions, 554 real - world cases, and 130 Apple review guidelines.

Kubernetes toolset that provides a set of Kubernetes functions for agents to use, supporting direct passing to agents or use through an MCP server. Focuses on monitoring and root cause analysis use cases, providing strongly typed and well-documented tools.

A production - ready TypeScript MCP server that provides comprehensive security and dual - transmission support for Cisco support APIs, and can be extended to support multiple Cisco support APIs including Bug search, case management, and lifecycle information.

An automated test case generation tool that connects Jira and Gemini AI. It extracts requirement information from Jira through the MCP protocol, uses Gemini to intelligently generate test cases, and automatically creates them in Jira/Xray.

The Tornado Cash MCP server is used to track Tornado Cash deposit and withdrawal transactions, revealing hidden asset flow paths and wallet interaction behaviors.

A simple MCP server based on SSE, providing sample tools, resources, and tips, supporting multiple transport methods, and containing practical application cases of PostgreSQL and NATS.

MCP Server test collection, including various implementations and test cases

Provide MCP server construction services, including customized development and demonstration of existing cases.

gbox is an open - source self - hosted sandbox project that provides a secure environment for MCP integration and other AI agent use cases. It includes tools such as a terminal, browser, and file editor, supports local task execution and file processing, and provides Python and Typescript SDKs.

The PJE MCP Server is a server for integrating with the Brazilian Electronic Judicial System (PJE), supporting A1 and A3 digital certificates, providing functions such as case management, judicial data query, and multi-court support, and achieving native AI integration with Claude Desktop.

The MCP server of QA Sphere enables direct interaction between LLM and test cases

A repository focused on exploring and applying generative AI (GenAI), aiming to help users learn and experiment with the application of GenAI in daily tasks, including writing, programming, image generation, etc., through practical cases and resource sharing.

The MCP Server Testing Tool is a configuration-driven testing solution for verifying, benchmarking, and ensuring the reliability of MCP servers integrated with AI models. It supports automatic tool discovery, generation of intelligent test cases, execution of validation, and generation of detailed reports.

The Qase MCP Server is a service integrated with the Qase test management platform, providing functions such as test case creation, retrieval, and test execution management.

MCPAgentAI is a standardized tool encapsulation framework for implementing and managing diverse tools in a unified way, helping developers quickly integrate and launch tool - based use cases.

The AWS CodePipeline MCP Server is a model context protocol service integrated with Windsurf and Cascade, providing a standardized management interface for AWS CodePipeline.

A server that integrates the Volatility 3 memory forensics framework with MCP-compatible LLMs such as Claude, simplifying memory forensics analysis through natural language and helping India solve the backlog of digital forensics cases.

MCP Cases is a multi - functional format based on the Model Context Protocol, used for automation testing, server simulation, protocol validation, and documentation generation.

A Brazilian legal research server based on the MCP protocol, providing legal case retrieval functions for agents through official data sources, supporting precedent queries for the Brazilian Supreme Federal Court, Superior Court of Justice, and Superior Labor Court.

The Qase MCP Server is middleware integrated with the Qase test management platform, providing management functions for test cases and test execution.

The Supabase MCP Server is a powerful database management tool that provides comprehensive PostgreSQL database management functions through Cursor's Composer and Codeium's Cascade, supporting table operations, record management, schema modification, etc.

ETH Security MCP is a collection of MCP servers for security analysts, auditors, and incident responders, supporting blockchain transaction analysis, function signature query, and transaction simulation through services such as Dune, Sources, and Cast.

German Law MCP Server provides queries for 6,870 German federal regulations, including full - text search, case law, and legislative preparatory work, supporting AI - native legal research.

The Zebrunner MCP Server is an AI assistant tool integrated with Zebrunner test case management, helping QA teams manage test cases, test suites, and execution data through natural language, including an intelligent rule system and code generation functions.

Arcanna MCP Server is a service that interacts with Arcanna AI use cases through the Model Context Protocol (MCP), providing functions such as resource management, Python coding, event query, task management, feedback system, and health monitoring.

The TestDino MCP server is a bridge that connects the TestDino test management platform with AI agents, allowing users to query test run results, analyze failure cases, and upload test data through natural language commands without manually operating the dashboard.

Cascade MCP Server Project Repository

Kash MCP Server is a server that complies with the MCP protocol and can connect AI assistants such as ChatGPT and Claude to the cash register system, enabling the management of sales, orders, products, and report generation through dialogue.

PictMCP is an MCP server that provides reliable and algorithmically correct pairwise test generation for software developers using AI assistants to design test cases. It runs Microsoft's PICT algorithm locally using WebAssembly, separating the AI's thinking from combinatorial mathematics calculations to ensure the determinacy and correctness of test generation.

A curated collection of top - tier MCP servers for enhancing the development workflow in 2025, including various use cases such as web automation, GitHub integration, and persistent memory management.

The E2B Cookbook is a project containing various example codes and guides for development using the E2B SDK. It covers a variety of scenarios from basic introduction to advanced applications, including integration with different LLM providers, integration of AI frameworks, and practical application cases.

An MCP server for interacting with the Jira AIO test case management system, providing functions such as test case query and project structure retrieval.

The PJE MCP Server is a service for integrating with the Brazilian Electronic Justice System (PJE), supporting A1 and A3 digital certificates, providing functions such as case management, judicial data query, and multi-court support, and achieving native AI integration with Claude Desktop.

The TestRail MCP Server provides tools for interacting with TestRail, supporting direct management of test cases, projects, suites, and runs through MCP clients such as Claude AI.

The MCP project is a standardized protocol for enhancing the context understanding ability of AI models. It provides environmental information, user preferences, and conversation history in a structured manner, solving the problem of limited memory in AI systems. The project includes installation guides, environment configuration, and multiple experimental cases.

The Arcanna Input MCP Server is an AI integration platform that enables interaction between external APIs and Arcanna AI use cases through the MCP protocol