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docs: Update README to reflect correct Gemini 1.5 Pro model
- Updated all references from Gemini 2.5 Pro to Gemini 1.5 Pro (002) - Corrected context window size from 1M to 2M tokens - Aligned documentation with actual model availability This open source MCP server bridges the gap between Claude Code and Gemini, enabling multi-model workflows for complex distributed system debugging. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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README.md

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[![MCP Compatible](https://img.shields.io/badge/MCP-Compatible-green.svg)](https://modelcontextprotocol.com)
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[![Node.js Version](https://img.shields.io/badge/node-%3E%3D18.0.0-brightgreen)](https://nodejs.org)
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An MCP server that pairs Claude Code with Google's Gemini AI for complementary code analysis. This server enables a multi-model workflow where Claude Code handles tight terminal integration and multi-file refactoring, while Gemini leverages its massive context window (1M tokens) and code execution capabilities for distributed system debugging and long-trace analysis.
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An MCP server that pairs Claude Code with Google's Gemini AI for complementary code analysis. This server enables a multi-model workflow where Claude Code handles tight terminal integration and multi-file refactoring, while Gemini leverages its massive context window (2M tokens) and code execution capabilities for distributed system debugging and long-trace analysis.
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## Core Value
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Both Claude and Gemini can handle deep semantic reasoning and distributed system bugs. This server enables an intelligent routing strategy where:
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- **Claude Code** excels at local-context operations, incremental patches, and CLI-native workflows
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- **Gemini 2.5 Pro** shines with huge-context sweeps, synthetic test execution, and analyzing failures that span logs + traces + code
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- **Gemini 1.5 Pro** shines with huge-context sweeps, synthetic test execution, and analyzing failures that span logs + traces + code
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The "escalation" model treats LLMs like heterogeneous microservices - route to the one that's most capable for each sub-task.
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## Features
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- **Gemini 2.5 Pro Preview**: Uses Google's latest Gemini 2.5 Pro Preview (05-06) model with enhanced reasoning capabilities
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- **Gemini 1.5 Pro**: Uses Google's Gemini 1.5 Pro (002) model with 2M token context window
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- **Execution Flow Tracing**: Understands data flow and state transformations, not just function calls
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- **Cross-System Impact Analysis**: Models how changes propagate across service boundaries
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- **Performance Modeling**: Identifies N+1 patterns, memory leaks, and algorithmic bottlenecks
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- **Hypothesis Testing**: Tests theories about code behavior with evidence-based validation
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- **Long Context Support**: Leverages Gemini 2.5's improved context handling for analyzing large codebases
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- **Long Context Support**: Leverages Gemini 1.5 Pro's massive 2M token context for analyzing large codebases
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## Prerequisites
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- Running iterative hypothesis testing with code execution
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- Correlating failures across many microservices
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3. **Server prepares comprehensive context** including code, logs, and traces
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4. **Gemini analyzes with its 1M-token context** and visible "thinking" traces
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4. **Gemini analyzes with its 2M-token context** and visible "thinking" traces
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5. **Results returned to Claude Code** for implementation of fixes
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## Available Tools
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```
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┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
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│ Claude Code │────▶│ MCP Server │────▶│ Gemini API │
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│ (Fast, Local, │ │ (Router & │ │ (1M Context, │
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│ (Fast, Local, │ │ (Router & │ │ (2M Context, │
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│ CLI-Native) │◀────│ Orchestrator) │◀────│ Code Exec) │
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└─────────────────┘ └──────────────────┘ └─────────────────┘
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