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gemsuite-mcp

by PV-Bhat·29·Score 38

Professional Gemini API integration for MCP hosts with intelligent model selection and advanced file handling.

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14 mo ago
Last commit
2d ago
Indexed

Overview

GemSuite MCP is a comprehensive integration of Google's Gemini API into the Model Context Protocol ecosystem. It provides specialized tools for search, reasoning, processing, and analysis tasks, with intelligent model selection based on task requirements. The server handles various file types automatically, supports multimodal processing, and implements robust error handling mechanisms with exponential backoff for API rate limits.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

you:Document analysis with efficient token usage through intelligent model selection
you:Complex problem solving with step-by-step reasoning capabilities
you:Automated file processing for various document types with batch support
you:Which Gemini models does GemSuite MCP use?
you:How does the intelligent model selection work?

When to choose this

Choose GemSuite MCP when you need advanced Gemini API integration with intelligent model selection and efficient file processing for MCP-compatible hosts like Claude.

When NOT to choose this

Avoid this if you need model selection outside Gemini's family, require fine-grained control over model parameters, or need to work offline without API access.

Tools this server exposes

4 tools extracted from the README
  • gem_search

    Information retrieval with search integration using Gemini Flash

  • gem_reason

    Complex reasoning with step-by-step analysis using Gemini Flash Thinking

  • gem_process

    Fast content processing with Gemini Flash-Lite for efficient operations

  • gem_analyze

    Intelligent file analysis with automatic model selection based on content type

Comparable tools

geminiserchmcpgoogle-gemini-api-mcpclaude-gemini-integration

Installation

Installation

Option 1: Smithery.ai (Recommended)

# Install directly via Smithery CLI
npx -y @smithery/cli@latest install @PV-Bhat/gemsuite-mcp --client claude

Option 2: Manual Installation

# Clone the repository
git clone https://github.com/PV-Bhat/gemsuite-mcp.git
cd gemsuite-mcp

# Install dependencies
npm install

# Set your Gemini API key
echo "GEMINI_API_KEY=your_api_key_here" > .env

# Build the project
npm run build

# Start the server
npm start

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "gemsuite-mcp": {
      "command": "node",
      "args": ["/path/to/gemsuite-mcp/dist/index.js"]
    }
  }
}

FAQ

Which Gemini models does GemSuite MCP use?
GemSuite MCP primarily uses three models: Gemini 2.0 Flash for search integration, Gemini 2.0 Flash-Lite for efficient text processing, and Gemini 2.0 Flash Thinking for enhanced reasoning and step-by-step analysis.
How does the intelligent model selection work?
The server automatically selects the optimal model based on task type (search, reasoning, processing, or analysis), content type (text, code, images), complexity, and optional user preferences.

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Last updated · Auto-generated from public README + GitHub signals.