MCP Claude Code MCP Server

MCP implementation of Claude Code capabilities and more

What the server does

An implementation of Claude Code capabilities using the Model Context Protocol (MCP).

This project provides an MCP server that implements Claude Code-like functionality, allowing Claude to directly execute instructions for modifying and improving project files. By leveraging the Model Context Protocol, this implementation enables seamless integration with various MCP clients including Claude Desktop.

• Code Understanding — Analyze and understand codebases through file access and pattern searching
• Code Modification — Make targeted edits to files with proper permission handling
• Enhanced Command Execution — Run commands and scripts in various languages with improved error handling and shell support
• File Operations — Manage files with proper security controls through shell commands
• Code Discovery — Find relevant files and code patterns across your project with high-performance searching
• Agent Delegation — Delegate complex tasks to specialized sub-agents that can work concurrently

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

• read — Read file contents with line numbers, offset, and limit capabilities
• write — Create or overwrite files
• edit — Make line-based edits to text files
• multi_edit — Make multiple precise text replacements in a single file operation with atomic transactions
• directory_tree — Get a recursive tree view of directories
• grep — Fast pattern search in files with ripgrep integration for best performance (docs)
• content_replace — Replace patterns in file contents
• grep_ast — Search code with AST context showing matches within functions, classes, and other structures
• run_command — Execute shell commands (also used for directory creation, file moving, and directory listing)
• notebook_read — Extract and read source code from all cells in a Jupyter notebook with outputs
• notebook_edit — Edit, insert, or delete cells in a Jupyter notebook
• think — Structured space for complex reasoning and analysis without making changes

Where it fits

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. MCP Claude Code's toolset — read, write, edit and 11 more — is a fair guide to whether it matches your workflow. It is maintained by SDGLBL; worth a glance at recent repository activity before you build anything load-bearing on it.

Recorded tools

• read — Read file contents with line numbers, offset, and limit capabilities
• write — Create or overwrite files
• edit — Make line-based edits to text files
• multi_edit — Make multiple precise text replacements in a single file operation with atomic transactions
• directory_tree — Get a recursive tree view of directories
• grep — Fast pattern search in files with ripgrep integration for best performance (docs)
• content_replace — Replace patterns in file contents
• grep_ast — Search code with AST context showing matches within functions, classes, and other structures
• run_command — Execute shell commands (also used for directory creation, file moving, and directory listing)
• notebook_read — Extract and read source code from all cells in a Jupyter notebook with outputs
• notebook_edit — Edit, insert, or delete cells in a Jupyter notebook
• think — Structured space for complex reasoning and analysis without making changes
• dispatch_agent — Launch one or more agents that can perform tasks using read-only tools concurrently
• batch — Execute multiple tool invocations in parallel or serially in a single request

Setup and compatibility

This listing has no verified copy-paste launch configuration. Use the project documentation to confirm the entry point, runtime and authentication before registering it in your MCP client. A package name or repository alone is not a runnable configuration.

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.