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  • A
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    Automates 85-95% of the Secure Software Development Lifecycle (SSDLC) planning phase through multi-role AI orchestration, enabling business analysis, threat modeling, test strategy design, and security code review.
    MIT
  • A
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    A
    quality
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    Security auditor for CI ecosystems that detects supply-chain and injection flaws in CI/CD configuration files across seven CI platforms, providing taint analysis, remediation, and compliance scoring.
    2
    MIT
  • A
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    quality
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    MCP server for the StepSecurity platform that enables investigating supply-chain and CI/CD security issues through natural language.
    30
    14
    3
    Apache 2.0
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    MCP security trust layer. Continuously monitors 800+ MCP packages on npm for install scripts, command injection, hardcoded secrets, capability drift, and publisher posture. Ships a GitHub Action policy gate for PR-level allow/warn/block decisions. 5 MCP tools, no API key required.
    8
    101
    1
    MIT
  • A
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    quality
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    A comprehensive and efficient Model Context Protocol server for task management that works with Claude, Cursor, and other MCP clients, providing powerful search, filtering, and organization capabilities across multiple file formats.
    5
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    47
    MIT
  • A
    license
    A
    quality
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    maintenance
    Enables AI agents to scan code for security vulnerabilities using multiple static analysis tools, with support for filtering, deduplication, and CI/CD integration.
    27
    2
    MIT
  • A
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    Safety-first GitOps operations for ArgoCD via the Model Context Protocol. Enables listing, diagnosing, syncing, and managing ArgoCD applications with progressive disclosure and defense-in-depth security.
    15
    Apache 2.0
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    quality
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    A local-first AWS security tool that uses graph theory to discover attack paths (e.g., Internet → Role → DB) and prioritize remediations. It allows agents to perform read-only security audits and generate Terraform fixes without data exfiltration.
    15
    4
    Apache 2.0
  • A
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    quality
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    maintenance
    Enables AI assistants to interact with devpipe, a local pipeline runner, allowing them to list tasks, run pipelines, validate configurations, debug failures, analyze security findings, and generate CI/CD configs through natural language.
    13
    10
    MIT
  • F
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    maintenance
    A specialized MCP server for QA engineering. It provides tools for user story analysis, test strategy, BDD/Gherkin scenarios, contract testing, integration tests, performance plans, security checklists, and CI/CD pipeline generation, accessible from any MCP-compatible IDE or client.
    11
  • A
    license
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    quality
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    maintenance
    One workspace for every AI coding assistant. Governance tools for API lint, diff, persistent ledger, multi-model deliberation, security audit, and test verification. Works with Claude Code, Codex, Cursor, and Gemini CLI.
    100
    500
    21
    MIT
  • A
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    quality
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    maintenance
    The Model Context Protocol (MCP) Jenkins integration is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Jenkins tools while maintaining data privacy and security.
    33
    140
    MIT
  • A
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    quality
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    Enables searching, reading, and analyzing discussions on GitLab's community forum for troubleshooting CI/CD issues and GitLab features. Pre-configured with GitLab-specific search filters and optimized workflows for support scenarios.
    8
    16
    MIT
  • A
    license
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    quality
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    Enables interaction with Bitbucket Cloud through 25+ tools for managing repositories, pull requests, branches, commits, issues, pipelines, and code search with OAuth 2.0 authentication.
    34
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    1
    MIT
  • A
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    A TypeScript starter template for building Model Context Protocol (MCP) servers with built-in support for tools, testing, and CI/CD pipelines. It provides a complete development environment for creating custom AI assistant integrations for tools like Claude, Copilot, and Cursor.
    1
    46
    MIT