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    Enables LLM agents to programmatically inspect, debug, and test other MCP servers by wrapping the MCP Inspector CLI. Supports listing and calling tools, reading resources, and testing prompts on both local and remote MCP servers.
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    MIT
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    A high-performance, multi-protocol API mock server with 18 built-in MCP tools for managing HTTP, GraphQL, gRPC, WebSocket, MQTT, SSE, and SOAP mocks, chaos engineering, stateful CRUD resources, and request verification.
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    Apache 2.0
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    Connects AI coding assistants to TestCollab for managing test cases, plans, and suites directly through natural language. It enables users to create, update, and query testing resources within integrated development environments and AI chat clients.
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    MIT
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    A specialized testing harness that enables AI assistants to thoroughly test other MCP servers by connecting to them, discovering their tools/resources/prompts, executing test calls, and performing end-to-end validation with LLM integration.
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    4
    MIT
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    Enables LLMs to inspect and test other MCP servers by listing and calling their tools, reading resources, and getting prompts. Supports stdio, SSE, and HTTP transports for both local and remote MCP server inspection.
    Last updated
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    1
    MIT
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    Enables AI assistants to deeply interact with the PHP ecosystem, including runtime, static analysis, security scanning, testing, Composer, and frameworks like Laravel and Symfony. It exposes over 30 tools, 8 resources, and 7 prompts via MCP, allowing natural language commands to run PHP linting, static analysis, audits, tests, and project initialization.
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    41
    MIT
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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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    5
    MIT
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    Official MCP server for Qase Test Management Platform. Enables AI assistants to manage test cases, test runs, defects, and other Qase entities through natural language.
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    1,537
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    MIT
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    Provides programmatic access to BlazeMeter's performance testing platform through MCP tools. Enables users to retrieve test runs, analyze performance data, view error reports, and manage testing resources via natural language interactions.
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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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    An MCP server that provides Sigma rule validation and configuration capabilities for AI assistants. It enables users to validate Sigma detection rules against various validators and manage validator configurations through MCP tools and resources.
    Last updated
    3
    MIT