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    Screen-reader navigation cost analyzer. Measures how hard it is for assistive-technology users to discover, reach, and operate interactive targets on the web.
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    9
    108
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    Apache 2.0
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    An MCP server for checking OWASP Top 10 vulnerabilities during API development testing. It analyzes API information and returns security assessment results to help developers identify potential security issues.
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    Enterprise-grade code intelligence platform providing AI-powered code analysis, semantic search, security scanning, and automated refactoring capabilities. Integrates with local AI models for zero-cost operations while delivering comprehensive development workflow automation.
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    A testing server that demonstrates Model Context Protocol features, providing access to user data, todos, and system information through resources, tools for user management and calculations, and prompt templates for various analyses.
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    Provides advanced evaluation tools for assessing AI safety, alignment, and performance of LLM outputs. Enables programmatic evaluation of quality, safety metrics like toxicity and PII detection, and operational metrics including carbon footprint and cost estimation.
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    Apache 2.0
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    A frontend security dependency auditing tool that identifies vulnerabilities in local and remote repositories using the Model Context Protocol. It provides detailed audit information like CVSS scores and dependency chains, generating standardized markdown reports.
    Last updated
    7
    MIT
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    An MCP server that enables AI assistants to parse Xcode and Swift build outputs into structured, token-efficient formats like JSON or TOON. It provides tools for executing build commands and extracting detailed diagnostic information such as errors, warnings, and test failures.
    Last updated
    8
    MIT
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    Evidence-driven quality testing for Model Context Protocol servers. It connects as a real client, captures the complete model-facing contract, identifies agent-usability risks, measures context cost, and executes only explicitly approved target calls.
    Last updated
    MIT
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    Integrates with the Zephyr Scale test management tool for Jira to fetch and update test case information, including steps, labels, and priorities. It enables users to manage test cases through natural language interactions within Claude Desktop and other MCP clients.
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    Enables interaction with the Veracode platform to perform security tasks like running SAST scans, checking SCA vulnerabilities, and retrieving CVE information. It allows AI assistants to manage scan workflows, from zipping source code to analyzing scan results through natural language.
    Last updated