What is the Claude Code MCP Server?

The Claude Code MCP Server is a tool that allows Large Language Models (LLMs) to interact with Claude Code in a one-shot mode, bypassing permission restrictions to enable seamless code execution and file editing.

What are the benefits of using the Claude Code MCP Server?

The benefits include enhanced file editing capabilities, cost-effectiveness by offloading tasks to cheaper models, the ability to queue multiple commands, and the ability to overcome limitations encountered by other AI Agents.

How do I install the Claude Code MCP Server?

The recommended way to install the server is by using npx. You can include it in your mcp.json configuration file.

What are the prerequisites for using the Claude Code MCP Server?

The prerequisites include Node.js v20 or later and the Claude CLI installed locally with the --dangerously-skip-permissions flag accepted.

How do I configure the MCP client to connect to the server?

You need to configure your MCP client (like Cursor or Windsurf) by modifying the mcp.json or mcp_config.json file with the appropriate server settings.

What is the ‘claude_code’ tool?

The claude_code tool executes a prompt directly using the Claude Code CLI with --dangerously-skip-permissions. It allows AI Agents to perform various coding tasks.

Can you provide some examples of how to use the ‘claude_code’ tool?

Examples include generating code, analyzing files, performing file system operations, interacting with Git, running terminal commands, and repairing files with syntax errors.

How do I provide the current working directory (CWD) context in my prompts?

Include the CWD context in your prompts by specifying the working folder. For example: "Your work folder is /path/to/projectnn...your command...".

What should I do if I encounter a ‘Command not found’ error?

Ensure that the Claude CLI is installed correctly and that the npm global bin directory is in your system’s PATH. Also, verify that npx is working correctly.

How do I enable debug logging for the server?

Set the MCP_CLAUDE_DEBUG environment variable to true to enable verbose debug logging from the MCP server.

How does this integrate with UBOS?

The Claude Code MCP Server integrates seamlessly with the UBOS platform, allowing you to orchestrate AI Agents, connect them with your enterprise data, and build custom AI Agent workflows.

Why is it important to accept permissions before using the MCP server?

Before the MCP server can successfully use the claude_code tool, you must first run the Claude CLI manually once with the --dangerously-skip-permissions flag, login and accept the terms. This is a one-time requirement by the Claude CLI.