Gemini SuperClaude MCP Server enables intelligent command routing and dynamic persona switching for Gemini CLI. Operations teams benefit from real MCP server orchestration, improving workflow automation and efficiency. It connects to Gemini CLI and supports Claude agents.
git clone https://github.com/Dianel555/gemini-superclaude-mcp-server.gitGemini SuperClaude MCP Server enables intelligent command routing and dynamic persona switching for Gemini CLI. Operations teams benefit from real MCP server orchestration, improving workflow automation and efficiency. It connects to Gemini CLI and supports Claude agents.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/Dianel555/gemini-superclaude-mcp-serverCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
I'm setting up a Gemini SuperClaude MCP Server for [COMPANY] in the [INDUSTRY] sector. I need to configure it to handle [SPECIFIC WORKFLOW] with the following requirements: [REQUIREMENT 1], [REQUIREMENT 2], and [REQUIREMENT 3]. Provide a step-by-step guide to set up and optimize the server for these tasks.
## Gemini SuperClaude MCP Server Setup Guide ### **1. Initial Setup** - Install the latest version of Gemini CLI. - Download the Gemini SuperClaude MCP Server package. - Run the installation script with admin privileges. ### **2. Configuration** - Open the configuration file `mcp_config.json`. - Set the `command_routing` to `intelligent` for dynamic task allocation. - Define the `persona_switching` parameter to `dynamic` for adaptive responses. ### **3. Workflow Integration** - Integrate the server with [COMPANY]'s existing automation tools. - Map out the [SPECIFIC WORKFLOW] tasks to the appropriate personas. - Test the setup with sample data to ensure smooth operation. ### **4. Optimization** - Monitor server performance using the built-in analytics dashboard. - Adjust the `command_routing` and `persona_switching` parameters based on performance metrics. - Schedule regular updates to keep the server running efficiently.
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