Code indexing and analysis tools for LLMs using MCP and CLI tools
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# Code Scope MCP <div align="center"> [](https://modelcontextprotocol.io) [](https://www.python.org/) [](LICENSE) **Code Scope: Graph-Powered Code Explorer for LLMs** Gives your AI coding tool deep insight into your large codebase without burning huge numbers of tokens. Designed for codebases spanning 100,000+ lines of code and thousands of files. </div> ## Table of Contents - [Overview](#overview) - [Interfaces](#interfaces) - [Use Cases](#use-cases) - [Quick Start](#quick-start) - [Usage Examples](#usage-examples) - [Available Tools](#available-tools) - [Troubleshooting](#troubleshooting) - [Development & Contributing](#development--contributing) - [License](#license) ## Overview Code Scope MCP is a **stdio-based [Model Context Protocol](https://modelcontextprotocol.io) server** that bridges the gap between AI models and complex codebases. When codebases grow large or when working across multiple repos it can be difficult for AI code assistants to understand the full scope of requests or the full impact of changes they make. This MCP server maintains an index your code base and makes fast, token efficient, code-graph search and reporting tools available. ## Architecture **Local STDIO Server**: Runs as a subprocess within MCP-compatible applications - **Communication**: Uses standard input/output streams (stdio) for MCP protocol - **Security**: No network exposure - only accessible to the host application - **Performance**: Direct process communication with minimal overhead - **Database**: Requires local file system access to SQLite database files ## Interfaces Code Scope provides two ways to access its powerful code indexing capabilities: ### **MCP Server (Primary Interface)** - **Type**: Stdio-based local server subprocess - **For AI Coding Assistants**: Designed to be i…
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