GemForge (Gemini Tools)

Integrates Google's Gemini for advanced codebase analysis, web search, and processing of text, PDFs, and images.

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GemForge (Gemini Tools)

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Overview

Smithery Badge MCP.so GemForge-Gemini-Tools-MCP MCP server

GemForge-Gemini-Tools-MCP: Enterprise-grade Gemini integration for your favorite MCP agents. Supercharge Claude, Roo Code, and Windsurf with codebase analysis, live search, text/PDF/image processing, and more.

Quick Navigation

Why GemForge?

GemForge is the essential bridge between Google's Gemini AI and the MCP ecosystem: gemfog

  • Real-Time Web Access: Fetch breaking news, market trends, and current data with gemini_search

  • Advanced Reasoning: Process complex logic problems with step-by-step thinking via gemini_reason

  • Code Mastery: Analyze full repositories, generate solutions, and debug code with gemini_code

  • Multi-File Processing: Handle 60+ file formats including PDFs, images, and more with gemini_fileops

  • Intelligent Model Selection: Automatically routes to optimal Gemini model for each task

  • Enterprise-Ready: Robust error handling, rate limit management, and API fallback mechanisms

Quick Start

One-Line Install

npx @gemforge/mcp-server@latest init

Manual Setup

  1. Create configuration file (claude_desktop_config.json):
{
  "mcpServers": {
    "GemForge": {
      "command": "node",
      "args": ["./dist/index.js"],
      "env": {
        "GEMINI_API_KEY": "your_api_key_here"
      }
    }
  }
}
  1. Install and run:
npm install gemforge-mcp
npm start

Watch 30-second setup demo →

Heavy-Duty Reliability

GemForge is built for production environments:

  • Support for 60+ File Types: Process everything from code to documents to images
  • Automatic Model Fallbacks: Continues functioning even during rate limits or service disruptions
  • Enterprise-Grade Error Logging: Detailed diagnostics for troubleshooting
  • API Resilience: Exponential backoff, retry logic, and seamless model switching
  • Full Repository Support: Analyze entire codebases with configurable inclusion/exclusion patterns
  • XML Content Processing: Specialized handling for structured data

Key Tools

ToolDescriptionKey Capability
gemini_searchWeb-connected information retrievalReal-time data access
gemini_reasonComplex problem solving with step-by-step logicTransparent reasoning process
gemini_codeDeep code understanding and generationFull repository analysis
gemini_fileopsMulti-file processing across 60+ formatsDocument comparison and transformation
Example: Real-Time Search 
{
  "toolName": "gemini_search",
  "toolParams": {
    "query": "Latest advancements in quantum computing",
    "enable_thinking": true
  }
}
Example: Code Analysis 
{
  "toolName": "gemini_code",
  "toolParams": {
    "question": "Identify improvements and new features",
    "directory_path": "path/to/project",
    "repomix_options": "--include \"**/*.js\" --no-gitignore"
  }
}
Example: Multi-File Comparison 
{
  "toolName": "gemini_fileops",
  "toolParams": {
    "file_path": ["contract_v1.pdf", "contract_v2.pdf"],
    "operation": "analyze",
    "instruction": "Compare these contract versions and extract all significant changes."
  }
}

Configuration

GemForge offers flexible configuration options:

Environment Variables 
GEMINI_API_KEY=your_api_key_here       # Required: Gemini API key
GEMINI_PAID_TIER=true                  # Optional: Set to true if using paid tier (better rate limits)
DEFAULT_MODEL_ID=gemini-2.5-pro        # Optional: Override default model selection
LOG_LEVEL=info                         # Optional: Set logging verbosity (debug, info, warn, error)
Claude Desktop Integration 
{
  "mcpServers": {
    "GemForge": {
      "command": "node",
      "args": ["./dist/index.js"],
      "env": {
        "GEMINI_API_KEY": "your_api_key_here"
      }
    }
  }
}
Advanced Model Selection

GemForge intelligently selects the best model for each task:

  • gemini_search: Uses gemini-2.5-flash for speed and search integration
  • gemini_reason: Uses gemini-2.5-pro for deep reasoning capabilities
  • gemini_code: Uses gemini-2.5-pro for complex code understanding
  • gemini_fileops: Selects between gemini-2.0-flash-lite or gemini-1.5-pro based on file size

Override with model_id parameter in any tool call or set DEFAULT_MODEL_ID environment variable.

Deployment

Smithery.ai

One-click deployment via Smithery.ai

Docker

docker run -e GEMINI_API_KEY=your_api_key ghcr.io/pv-bhat/gemforge:latest

Self-Hosted

Use our MCP.so Directory listing for integration instructions.

What Sets GemForge Apart?

  • Cross-Ecosystem Power: Bridge Google's AI with Claude and other MCP agents
  • Multi-File Analysis: Compare documents, images, or code versions
  • Smart Routing: Automatic model selection based on task requirements
  • Production-Ready: Built for enterprise environments

GemForge in Action

Community & Support

Documentation

Visit our Documentation Site for:

  • Advanced usage tutorials
  • API reference
  • Troubleshooting tips

License

Licensed under the MIT License. See LICENSE for details.

Acknowledgments

  • Google Gemini API for providing the underlying AI capabilities
  • Model Context Protocol (MCP) for standardizing AI tool interfaces

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