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NakshAstraMCP-Docs
vijaytank March 10, 2026
1 copies 0 downloads
High-performance, low-latency MCP server for local code context. Features AST-aware symbol graphs, semantic reranking, and PageRank-scored search for AI agents (Claude, Cursor, and more).
Agent Definition
<div align="center" markdown="1"> <img src="assets/logo.png" alt="NakshAstraMCP Hero Banner" width="100%"> **The ultimate high-performance code context engine for AI-native development.** [](LICENSE) [](#) [](#) </div> --- ## 📖 Overview NakshAstraMCP provides AI agents (Cursor, Cursor, Antigravity, etc.) with deep, structural understanding of your local codebase. Using advanced AST parsing and high-speed semantic ranking, it delivers the exact context your developer tools need to solve complex problems across large projects. ### 🗺 Documentation Hub Quickly navigate to detailed guides: | 🚀 [Setup Guide](SETUP.md) | 📖 [User Guide](USER_GUIDE.md) | 🤖 [Agent Guide](agent.md) | | :---: | :---: | :---: | | *Install & Configure* | *Advanced Usage & Tips* | *Behavioral Guide for AI* | | 📜 [LICENSE](LICENSE) | 🛡 [Security Policy](SECURITY.md) | 💬 [Discussions](DISCUSSIONS_WELCOME.md) | | :---: | :---: | :---: | | *LICENSE * | *Privacy & Data Safety* | *Community & Support* | | | [🛠 Troubleshooting](TROUBLESHOOTING.md) | | --- ## 🏆 Assessment & Performance - **Overall Efficiency**: **9.3 / 10** (Industry-leading structural context) - **Index/Search Latency**: **~0.68ms p95** (Ultra-low latency on 10,000-file repos) - **Idle Memory**: **< 150 MB RAM** - **Language Support**: Deep AST integration for **Python, JavaScript, TypeScript, Java, and Kotlin**. <br> <div align="center"> <img src="assets/dashboard_search.png" alt="NakshAstraMCP Dashboard - Search" width="90%"> <p><em>Lightning-fast hybrid search across multiple repositories.</em></p> </div> ### ✨ Key Features - 🔍 **Hybrid Multi-Repo Search** — Indexed search across all your projects simultaneously. - 🧠 **Semantic Reranking** — AI-powered results prioritized by con
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