A Model Context Protocol (MCP) server that integrates Google's Gemini AI for code review, technical consultation, and AI-assisted development workflows. This server provides seamless integration with Claude Code and other MCP-compatible clients.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Using Gemini and Context7 as MCP Server Sub-Agents for Claude Code | |
| Overview | |
| This guide explains how to integrate Google's Gemini AI models and Context7 (by Upstash) as sub-agents for Claude Code using the Model Context Protocol (MCP). Gemini provides deep code analysis and large context processing, while Context7 fetches version-specific documentation to ensure accuracy and reduce hallucinations. Claude Code orchestrates the workflow, delegating tasks to Gemini for analysis and Context7 for documentation. | |
| Why Use Gemini and Context7? | |
| Gemini Strengths: | |
| Large context window for analyzing extensive codebases or documentation. | |
| Complements Claude’s conversational and editing capabilities. | |
| Cost-effective via Gemini CLI’s free/low-cost plans. | |
| Ideal for deep code review, debugging, and brainstorming. |
