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    Enables automated access to LoadRunner Cloud APIs for retrieving performance test data, managing projects, and collecting test results. Supports integration with AI clients for building performance engineering workflows and dashboards.
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    An MCP server that connects AI assistants to Xray Cloud for Jira test management, enabling natural language interaction with tests, test plans, executions, and CI result imports.
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    MIT
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    Behavioral verification intelligence for AI coding agents. Reads a TypeScript or JavaScript repo, clusters functions into 25 semantic workflows (Authentication, Payments, Webhooks, Caching, Queue, and more), and emits concrete adversarial probes per workflow. 17 MCP tools, local SQLite state, zero cloud.
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    Compacts noisy test, build, and cloud-log output before an AI agent reads it — dedupes repeats, collapses stack frames, folds Playwright retries, and renders CloudWatch/GCP JSON logs down to the signal. Typically 80–95% fewer tokens on failures. Tool: compact_output. Run: npx -y logslim logslim-mcp
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    MIT
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    An MCP server that exposes the QMetry Test Management for Jira Cloud REST API as tools for MCP-compatible clients. It enables users to manage test cases, test cycles, test executions, test plans, folders, and automation rules through natural language interactions.
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    Enables quality checking and content management for websites through the Crownpeak DQM CMS REST API. Supports running quality checks, spellchecking, asset management, and checkpoint monitoring with both desktop and cloud deployment options.
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    MIT
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    A comprehensive security testing MCP server providing 51 tools for penetration testing, network forensics, memory analysis, and vulnerability assessment. It enables automated security audits and technical investigations across web applications, cloud environments, and network captures.
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    MIT
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    Enables AI assistants to interact with Sauce Labs testing platform through natural language, providing access to device cloud management, test job analysis, build monitoring, and testing infrastructure insights. Supports both Virtual Device Cloud (VDC) and Real Device Cloud (RDC) with comprehensive test analytics and team collaboration features.
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    Apache 2.0
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    An MCP server for Zephyr Scale test management supporting Jira Cloud and Data Center. It enables creating, reading, and managing test cases and test runs via the Atlassian REST API with official API-compliant schemas.
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    Enables comprehensive test management in Zephyr Scale Cloud, including creating and managing test cases, executing tests with step-by-step results, organizing test cycles and plans, and performing advanced JQL searches.
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    Enables AI assistants to interact with Xray Test Management for both Cloud and Server deployments. Supports test execution, importing results from multiple formats (JUnit, Cucumber, Robot Framework, TestNG), and managing test plans and executions.
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    Enables Claude to interact with JAMA Cloud (Jama Connect) for project management, including creating, updating, and searching items, managing test plans, and adding comments.
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