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    An MCP server that enables AI-powered IDEs to implement a structured development workflow from requirements gathering to code implementation, guiding users through goal collection, requirements specification, design documentation, task planning, and execution.
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    MIT
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    Integrates Nautex AI's specification and planning tool with coding agents to manage requirements, tasks, and code generation in small, testable steps.
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    MIT
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    Exposes a governed, provenance-grounded autonomous delivery pipeline as an MCP server, enabling AI coding assistants like Claude Code or Codex to initiate requirements-to-PR workflows with human approval gates and full audit.
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    MIT
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    Implements GitHub's Spec-Driven Development methodology, transforming natural language requirements into executable specifications, technical plans, and ordered task lists with contract-based validation and progress tracking.
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    MIT
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    A Spec-Driven Development toolkit that transforms LLMs into development agents by providing expert-crafted prompts for generating structured specifications and validating documents across the Requirements → Design → Tasks → Code workflow.
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    MIT
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    A local AST and type-aware Go repository context indexer that uses CHA to map symbols, call graphs, dependencies, and architecture patterns. Built for AI coding agents that need to navigate and reason about large Go codebases without reading raw files.
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    MIT