MCP Claude Code

@SDGLBL

代码仓库

基本信息

分类

AI 与智能体

许可证

MIT

传输方式

stdio

作者

SDGLBL

关于 MCP Claude Code

MCP implementation of Claude Code capabilities and more

#mcp #claude #mcp-server #claude-code

MCP Claude Code 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

MCP Claude Code 工具

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。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP Claude Code?

MCP Claude Code is an MCP server that implements Claude Code capabilities, allowing Claude to directly execute instructions for modifying and improving project files. It integrates with various MCP clients including Claude Desktop.

How to use MCP Claude Code?

Install the server following the instructions in INSTALL.md, then connect it to an MCP client like Claude Desktop. The server exposes over a dozen tools (e.g., read, write, edit, run_command, dispatch_agent) for code understanding, modification, and task management.

Key features of MCP Claude Code

Analyze codebases with file access and pattern searching
Make targeted file edits with permission handling
Run shell commands and scripts with error handling
Find files and code patterns with high‑performance searching
Delegate complex tasks to concurrent sub‑agents
Support any LiteLLM‑compatible model for agent operations

Use cases of MCP Claude Code

Read, edit, and manage project files through conversational instructions
Search codebases for patterns, classes, or functions with AST context
Execute shell commands and scripts for build, test, or deployment tasks
Read and edit Jupyter notebooks, including cell outputs
Delegate multi‑step research or refactoring tasks to parallel sub‑agents

常见问题

What is the difference between MCP Claude Code and Claude Code?

MCP Claude Code is an implementation of Claude Code’s capabilities using the Model Context Protocol, enabling integration with any MCP client (e.g., Claude Desktop) rather than being a standalone tool.

Does it support multiple LLM providers?

Yes. It can be configured to use any LiteLLM‑compatible model for agent operations.

How does it handle security?

The server requires permission prompts for file modifications and command execution, restricts access to specified directories, and includes input validation and error handling.

What file types and formats are supported?

It includes dedicated tools for Jupyter notebooks (read and edit with cell/output handling) and provides general file reading, writing, and searching for text‑based files.

Are there any known limitations or restrictions?

The README notes that file operations and command execution require explicit permission, and access is restricted to directories you specify for security.

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