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    Local MCP server for querying VCD waveform files via SQLite; enables AI agents to ask precise questions about signal values, transitions, and clock cycles without dumping raw VCD text.
    Last updated
    18
    1
    MIT
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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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    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.
    Last updated
    4
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    A lightweight Python-based microservice that provides simple echo functionality, receiving messages and returning them back to the client for diagnostic and testing purposes within the MCP framework.
    Last updated
    1
    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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    Enables AI assistants to automate mobile app testing on iOS and Android through natural language commands. Supports session management, element finding, screenshot capture, and test generation without requiring complex setup.
    Last updated
    5,703
    437
    Apache 2.0
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    A comprehensive testing server for validating MCP scanner tools and implementations, providing diverse tools, resources, and prompts that exercise various aspects of the Model Context Protocol specification.
    Last updated
    14
    MIT
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    Provides production-grade starter templates for MCP servers with permission boundaries, integration tests, and eval contracts, enabling rapid development of secure and testable MCP servers.
    Last updated
    Apache 2.0
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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