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    Cross-platform ad management MCP server for Google Ads and Meta Ads. Campaign analytics, A/B testing with z-test, anomaly detection, and budget reallocation. 15 tools, 60 tests.
    17
    99
    MIT
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    A Model Context Protocol server that exposes a hospital-oriented web application firewall engine for AI assistants. It enables request inspection against curated security rules and provides tools for rule management and security testing.
    4
    MIT
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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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    14,432
    43
    MIT
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    An MCP server that emits OpenTelemetry traces, metrics, and logs to OTLP endpoints in various formats. It includes tool-mimicry profiles to generate realistic traffic resembling common tools like nginx, postgres, and AWS Lambda for testing and demonstration purposes.
    11
    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.
    8
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    A specialized diagnostic framework that enables AI models to self-diagnose and fix MCP-related issues by analyzing logs, validating configurations, testing connections, and implementing solutions.
    9
    MIT
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    A security layer for AI agents that monitors, checks, and records every action, providing a trust light, timeline, rewind, and ghost mode for testing without consequences.
    2
    AGPL 3.0
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    Enables AI assistants to programmatically create, execute, and analyze Apache JMeter performance tests. It supports automated bottleneck detection, report generation, and distributed testing management through natural language.
    MIT
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    Remote MCP server enabling AI agents to manage the MaxoPerf performance testing platform via natural language, including creating tests, launching cloud load runs, viewing results, and diagnosing failures.
    1
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    Enables AI assistants to perform chaos engineering and resilience testing on Kubernetes clusters through Chaos Mesh. Supports creating and managing 24 types of chaos experiments including network failures, stress tests, pod disruptions, and I/O faults through natural language conversations.
    2
    MIT
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    Enables Claude with 121 tools for website operations, Google Marketing, SEO, performance analysis, security auditing, monitoring, and accessibility testing.
    6
    MIT
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    Enables DNS and email security analysis through passive and active scanning capabilities. Provides comprehensive domain security checks including SPF, DMARC, DNSSEC validation, MX record analysis, and SMTP connectivity testing.
    MIT
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    Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.
    MIT
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    Diagnose MCP servers — health checks, tool testing, token cost audits, conflict detection, and security scanning with 50+ prompt injection patterns. Works as CLI or MCP server inside Claude Desktop.
    1
    MIT