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
521,454 tools. Updated 2026-09-06 11:20
"AI Programming with Standards-Driven Development" matching MCP tools:
- Spawns Claude Code AI to interpret natural language development requests and autonomously complete programming tasks through file operations and code execution.MIT
- Summarize daily programming language usage from AI assistant sessions to identify the most frequently used languages.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
- Create a PagerDuty incident with detailed context for AI-driven escalation during GPU investigations. Trigger alerts based on analysis.-
Matching MCP Servers
- AlicenseNot gradedqualityDmaintenanceFacilitates spec-driven development workflows by providing structured prompts for generating requirements in EARS format, design documents, and implementation code following a systematic approach.74437MIT
- AlicenseAqualityDmaintenanceEnables specification-driven development workflows for AI editors by managing structured project specifications through stages like requirements, design, and tasks.2132MIT
Matching MCP Connectors
NIST Standards MCP pack
IEEE Xplore MCP — BYOK wrapper over the IEEE Xplore Metadata Search API
- 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
- Access Gutenberg block development standards and best practices to generate compliant code following security and performance guidelines for WordPress projects.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.-
- 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, update, or remove development standards to enforce consistent coding practices across teams.MIT
- Forecast FX volatility for stablecoin treasuries using AI-driven predictive rates to optimize compliance and manage currency risk.MIT
- Search academic literature using natural language queries. Find relevant papers with AI-driven semantic search.-
- Retrieve standardized React Native project structure guidelines to organize codebases efficiently and maintain consistent development practices.-
- Access API communication standards for React Native development to implement consistent and reliable data exchange in mobile applications.-
- Retrieve React Native component design standards to ensure consistent UI implementation across applications.-
- Retrieve React Native state management standards and guidelines for implementing consistent application state handling.-