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"Improving the Intelligence of Large Language Models" matching MCP servers:

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    A Model Context Protocol server providing security vulnerability intelligence tools including CVE lookup, EPSS scoring, CVSS calculation, exploit detection, and Python package vulnerability checking.
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    MIT
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    An MCP server that gives AI assistants the ability to check open-source packages for vulnerabilities, enrich findings with real-world exploit intelligence, and statically analyse whether vulnerable code is actually reachable in your project.
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    Apache 2.0
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    Enables natural language-driven creation and execution of autonomous-vehicle scenarios in the CARLA simulator, with validated primitives and replay support.
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    MIT
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    Automated Playwright E2E test repair powered by a self-improving, governed MCP server that runs failing tests, collects failure artifacts, reasons about root causes, validates and applies fixes, and re-runs to verify.
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    An MCP server that gives Claude direct control of a real browser via Playwright, enabling AI-driven web testing, autonomous test execution, and live failure analysis through natural language.
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    Enables AI assistants to interact with SmartBear's suite of testing and monitoring tools including BugSnag, Swagger, Reflect, and more through natural language, allowing querying of testing data, analysis of performance metrics, and management of test automation.
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    MIT
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    Enables remote control of LeCroy oscilloscopes via SCPI commands over LAN to perform waveform capture, screenshots, measurements, channel configuration, and triggering through natural language. Supports multiple LeCroy models including WaveSurfer, HDO, WaveRunner, and WavePro series with automatic model detection.
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    AGPL 3.0
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    QA Sphere MCP server that enables Large Language Models to interact directly with test management system test cases, supporting AI-powered development workflows and test case discovery.
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    MIT
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    Enables comprehensive WCAG 2.0/2.1 accessibility testing of web applications using Playwright and axe-core. Supports natural language element finding, auto-discovery of interactive components, and generates detailed compliance reports with screenshots.
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    Exposes Specmatic's API contract testing, resiliency testing, and mocking capabilities to AI coding agents via natural language, enabling automated validation and simulation of API behaviors.
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    MIT
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    Enables comprehensive Roku automated testing by combining WebDriver for UI state verification and ECP for device control, allowing validation of acceptance criteria through natural language queries.
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