claude-cli-mcp-bridge
NewClaude Code CLI 2026 Pro Edition – Next-Gen AI Development Workflow Tool
Summary
The claude-cli-mcp-bridge skill integrates Claude Code with the MCP protocol, enabling developers to execute CLI commands, manage files, and orchestrate workflows directly from their development environment.
- It streamlines automation and tool orchestration, making it easier to build and test AI-powered agents.
Install & Usage
~/.claude.jsonAdd the configuration to "mcpServers": { "claude-cli-mcp-bridge": { "command": "...", "args": [] } }
/mcpUse Cases
Usage Examples
/claude-cli-mcp-bridge run 'npm test' and report the results
/claude-cli-mcp-bridge create a new file 'src/utils/helper.js' with a function to format dates
/claude-cli-mcp-bridge execute 'git status' then 'git add .' and 'git commit -m "update"'
Security Audits
Frequently Asked Questions
What is claude-cli-mcp-bridge?
The claude-cli-mcp-bridge skill integrates Claude Code with the MCP protocol, enabling developers to execute CLI commands, manage files, and orchestrate workflows directly from their development environment. It streamlines automation and tool orchestration, making it easier to build and test AI-powered agents.
How to install claude-cli-mcp-bridge?
To install claude-cli-mcp-bridge: open your mcp config (~/.claude.json), then add the config to "mcpServers": { "claude-cli-mcp-bridge": { "command": "...", "args": [] } }. Finally, /mcp in Claude Code.
What is claude-cli-mcp-bridge best for?
claude-cli-mcp-bridge is a mcp categorized under General. It is designed for: mcp. Created by ALKwbfkAgbfcAGIB.
What can I use claude-cli-mcp-bridge for?
claude-cli-mcp-bridge is useful for: Automate repetitive CLI tasks like running tests, linting, or deploying code without leaving Claude Code.; Orchestrate multi-step build pipelines by chaining commands through the MCP bridge.; Manage file operations such as creating, editing, or deleting project files programmatically.; Interact with version control systems to commit, push, or review changes via natural language prompts.; Execute system diagnostics and monitor resource usage during development sessions.; Integrate with external APIs or services by combining CLI tools with MCP capabilities..