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"DevOps tools and practices including CI/CD pipelines, GitOps, and DevSecOps" matching MCP servers:

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    Integrates SAST, DAST, IAST, and SCA security testing tools for AI-powered DevSecOps automation, enabling comprehensive security scanning and reporting through natural language interfaces.
    17
    MIT
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    A TypeScript-based MCP server scaffold designed for monitoring and interacting with Drone CI environments. It provides tools for webhook parsing, HMAC signature verification, and state management for CI/CD pipelines.
    6
    Apache 2.0
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    Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.
    40
    1
    Apache 2.0
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    A streamlined MCP server for XMP metadata embedding with beautiful formatting and smart filename indicators, enabling metadata embedding, reading, validation, and report generation for lifestyle, product, and orbit schemas.
    MIT
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    Enables MCP-compatible clients to inspect Argo CD applications, check sync and health status, list resources, review events, refresh applications, and optionally trigger sync operations.
    MIT
  • F
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    A local MCP server that bridges Claude Desktop/Cowork to the Azure DevOps CLI, enabling full use of az devops, az repos, az boards, az pipelines, and az artifacts commands.
    12
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    A dynamic Azure DevOps MCP server that automatically switches authentication context based on the current working directory, enabling seamless integration with multiple Azure DevOps organizations and projects.
    10
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    11
    MIT
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    An MCP server that integrates SAST, DAST, and SCA security tools to enable AI-driven vulnerability scanning and automated security reporting. It allows AI assistants to execute and analyze results from tools like Semgrep, OWASP ZAP, and Trivy within a DevSecOps workflow.
    6
    MIT
  • F
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    Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.
    2