Gemini CLI MCP Server is an MCP server that provides ai / ml tools to AI agents. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 45/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"gemini-cli": {
"args": [
"/absolute/path/to/mcp_server.py"
],
"command": "/absolute/path/to/.venv/bin/python"
}
}
}Are you the author?
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A production-ready Model Context Protocol (MCP) server that bridges Google's Gemini CLI with MCP-compatible clients like Claude Code and Claude Desktop. This enterprise-grade Gemini MCP server features OpenRouter AI API integration for access to 400+ AI models and provides 33 specialized tools for seamless multi-AI workflows between Claude, Gemini, and 400+ additional models.
Run this in your terminal to verify the server starts. Then let us know if it worked - your result helps other developers.
npx -y '@google-ai/gemini-cli' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories - click any category to see the underlying evidence.
No known CVEs.
Checked @google-ai/gemini-cli against OSV.dev.
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