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619,330 tools. Updated 2026-09-28 14:28

"AI Programming with Standards-Driven Development" matching MCP tools:

  • List AI governance units—regulations, standards, frameworks, playbooks—with IDs, slugs, categories, names, and summaries. Use to browse rules before searching specific obligations or controls.
    MIT
  • Spawns Claude Code AI to interpret natural language development requests and autonomously complete programming tasks through file operations and code execution.
    MIT
  • Creates a structured development workspace with requirements, design, and task files to guide spec-driven workflow. Call first when starting a new feature or bugfix.
    MIT
  • Implement code using strict Test-Driven Development methodology by writing tests before production code. Supports iterative TDD cycles with session resume functionality.
    MIT

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  • Create a PagerDuty incident with detailed context for AI-driven escalation during GPU investigations. Trigger alerts based on analysis.
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  • Validates spec files, generates acceptance criteria, and authors BDD scenarios. Completes the full spec-driven development loop for your project.
    MIT
  • Find relevant MCP servers for development tasks by describing your functional needs, with options to filter by category and programming language.
    MIT
  • Validate code against quality standards including security, architecture, and style for multiple programming languages to ensure compliance with best practices.
    MIT
  • Retrieve quality standards for programming languages and frameworks to ensure code follows best practices, security protocols, and architectural patterns.
    MIT
  • Browse available templates for AI development loops including REST API development, testing, refactoring, bug fixing, documentation, and performance optimization with suggested settings.
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  • Chat with GitHub Copilot AI models to get programming assistance, code explanations, and reviews by providing messages and optional context.
    MIT
  • Begin a Test-Driven Development workflow: define a feature, write a failing test (Red), implement code to pass (Green), then refactor (Refactor). Supports custom test frameworks and acceptance criteria.
    MIT
  • Retrieve model development standards and best practices before creating or modifying models. Filter by category or list available categories for guidance.
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  • Search academic literature using natural language queries. Find relevant papers with AI-driven semantic search.
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