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It connects AI coding assistants—like **VS Code GitHub Copilot**, **Google Antigravity**, **Claude Code**, and **Cursor**—directly to your project's Tenex SDLC requirements graph.\n\n---\n\n## 🎯 What Does It Do?\n\nWhen you chat with your AI assistant in your editor, this MCP server runs silently in the background and allows your assistant to:\n- 📖 Read and parse documents dropped in `reqs/docs/` and `reqs/meetings/`.\n- 📝 Create and update feature specifications and acceptance criteria.\n- ❓ Surface clarification questions when requirements are ambiguous.\n- 🔍 Answer questions about why a particular feature, screen, or button exists in the code.\n\nYou never have to copy and paste requirements or context into chat manually—your AI assistant fetches exact, verified facts directly from the graph.\n\n---\n\n## 🚀 Quick Setup\n\nThis package is run automatically by your AI editor using `npx`.\n\n### 1. VS Code (`.vscode/mcp.json`)\n```json\n{\n  \"servers\": {\n    \"tenex-sdlc\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@sweyaai/tenex-sdlc-mcp\"]\n    }\n  }\n}\n```\n\n### 2. Google Antigravity / Claude / Cursor\n```json\n{\n  \"mcpServers\": {\n    \"tenex-sdlc\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@sweyaai/tenex-sdlc-mcp\"]\n    }\n  }\n}\n```\n\n---\n\n## 📚 Technical Documentation & Tool Schemas\n\nLooking for deep technical architecture, JSON-RPC schemas, and tool handler details?  \n👉 See the [**Technical Tool Reference (TECHNICAL.md)**](TECHNICAL.md).\n\n---\n\n## 📜 License\n\nApache-2.0 © Sweya AI\n","readmeFilename":"README.md"}