What Python version is required?
Python 3.10 or higher is required.
@johnhuang316
基本信息
A Model Context Protocol (MCP) server that helps large language models index, search, and analyze code repositories with minimal setup
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"code-index": {
"command": "uvx",
"args": [
"code-index-mcp"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
Code Index MCP is a Model Context Protocol server that provides intelligent code indexing, advanced search, and detailed code analysis for AI assistants. It bridges the gap between AI models and complex codebases, supporting code review, refactoring, documentation generation, debugging, and architectural analysis.
Install via uvx (recommended) or pip install code-index-mcp. Add the server to your MCP configuration (e.g., claude_desktop_config.json) with the command uvx code-index-mcp and optionally the --project-path argument to auto-initialize a repository. After restarting the application, use tools like set_project_path, search_code_advanced, find_files, and get_file_summary to interact with your codebase.
Python 3.10 or higher is required.
You can either pass `--project-path /absolute/path/to/repo` to the `args` array in the MCP configuration, or use the `set_project_path` tool after startup.
Ten languages: Python, JavaScript, TypeScript, Java, Kotlin, C#, Go, Rust, Objective-C, and Zig. All other programming languages use a fallback strategy for basic file indexing.
Yes, it includes a file watcher that automatically updates the index when files change. You can check status with `get_file_watcher_status` and configure it with `configure_file_watcher`.
`search_code_advanced` uses literal matching by default, with optional `regex=True`, fuzzy matching, file filtering, and paginated results. Regex mode requires a native search tool (ugrep, ripgrep, ag, or grep) to be installed.

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