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- Unified access to 4 major LLM providers (Gemini, OpenAI, Anthropic, Grok) - Real-time streaming support across all providers - Multimodal capabilities (text, images, audio) - Intelligent document processing with smart chunking - Production-ready with health monitoring and error handling - Full OpenAI ecosystem integration (Assistants, DALL-E, Whisper) - Vector embeddings and semantic similarity - Session-based API key management - Built with FastMCP and modern Python tooling 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
32 lines
850 B
Bash
Executable File
32 lines
850 B
Bash
Executable File
#!/bin/bash
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# Install script for LLM Fusion MCP Server
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set -e
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echo "🚀 Installing LLM Fusion MCP Server..."
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# Check if uv is installed
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if ! command -v uv &> /dev/null; then
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echo "Error: uv is not installed. Please install it first:"
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echo "curl -LsSf https://astral.sh/uv/install.sh | sh"
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exit 1
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fi
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# Install dependencies
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echo "📦 Installing dependencies..."
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uv sync
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# Check for environment file
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if [ ! -f .env ]; then
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echo "📝 Creating .env file from template..."
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cp .env.example .env
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echo "⚠️ Please edit .env with your API keys before running the server"
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fi
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echo "✅ Installation complete!"
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echo ""
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echo "Next steps:"
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echo "1. Edit .env with your API keys"
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echo "2. Add this MCP server to Claude Code:"
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echo " - Copy mcp-config.json content to your MCP configuration"
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echo "3. Test with: ./run_server.sh" |