ali-kamali/axon.mcp.server

模型上下文协议（MCP）服务器用于AI集成开发环境 - 光标、反重力和Claude

将您的代码库转化为智能知识库，支持基于光标IDE、Google AntiGravity和MCP的助手

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📋 目录

• 问题
• 解决方案
• 亲眼见证
• 架构概述
• 面向人工智能助手的MCP工具
• 主要特征
• 快速入门
• 使用场景
• 文档
• 发展
• 路线图
• 贡献
• 许可证

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🎯 问题

现代代码库是复杂的迷宫——成千上万的文件、复杂的依赖关系和不断演变的架构。像ChatGPT和Claude这样的AI助手很聪明…但他们是盲目飞行。 如果不深入了解代码库的结构、关系和模式，他们只能看到树木，永远看不到森林。

💡 解决方案

Axon.MCP.Server 利用 Model Context Protocol（MCP），将你的整个代码库转化为智能、可查询的知识库。可以把它看作是赋予你的 AI 助手对代码的透视——不仅理解语法，还包括语义、架构和关系。

为什么Axon如此突出

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📋 Table of Contents

• The Problem
• The Solution
• See It In Action
• Architecture Overview
• MCP Tools for AI Assistants
• Key Features
• Quick Start
• Use Cases
• Documentation
• Development
• Roadmap
• Contributing
• License

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🎯 The Problem

Modern codebases are complex labyrinths—thousands of files, intricate dependencies, and evolving architectures. AI assistants like ChatGPT and Claude are brilliant… but they’re flying blind. Without deep understanding of your codebase’s structure, relationships, and patterns, they can only see the trees, never the forest.

💡 The Solution

Axon.MCP.Server transforms your entire codebase into an intelligent, queryable knowledge base using the Model Context Protocol (MCP). Think of it as giving your AI assistant X-ray vision into your code—understanding not just syntax, but semantics, architecture, and relationships.

Why Axon Stands Out

• 🧠 Semantic Understanding: Goes beyond grep to understand what code means, not just what it says
• 🔗 Relationship Mapping: Automatically builds call graphs, inheritance trees, and dependency networks
• 🤖 AI-Native Integration: Built specifically for ChatGPT, Claude, Cursor IDE, and other MCP-enabled tools