Ryan Malloy
c335ba0e1e
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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>
78 lines
2.1 KiB
Markdown
78 lines
2.1 KiB
Markdown
# LLM Fusion MCP - Claude Code Integration Guide
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## Quick Setup
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1. **Install the MCP server**:
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```bash
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./install.sh
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```
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2. **Configure API keys** in `.env`:
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```bash
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GOOGLE_API_KEY=your_google_api_key
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OPENAI_API_KEY=your_openai_api_key # Optional
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ANTHROPIC_API_KEY=your_anthropic_key # Optional
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XAI_API_KEY=your_xai_key # Optional
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```
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3. **Add to Claude Code** (recommended):
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```bash
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claude mcp add -s local -- gemini-mcp /home/rpm/claude/gemini-mcp/run_server.sh
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```
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Or via JSON configuration:
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```json
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{
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"mcpServers": {
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"gemini-mcp": {
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"command": "/home/rpm/claude/gemini-mcp/run_server.sh",
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"env": {
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"GOOGLE_API_KEY": "${GOOGLE_API_KEY}",
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"OPENAI_API_KEY": "${OPENAI_API_KEY}",
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"ANTHROPIC_API_KEY": "${ANTHROPIC_API_KEY}",
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"XAI_API_KEY": "${XAI_API_KEY}"
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}
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}
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}
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}
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```
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## Available Tools
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### 🎯 Core LLM Tools
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- `llm_generate()` - Universal text generation across all providers
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- `llm_analyze_large_file()` - Intelligent large document analysis
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- `llm_analyze_image()` - Image understanding and analysis
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- `llm_analyze_audio()` - Audio transcription and analysis
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- `llm_with_tools()` - Function calling during generation
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### 📊 Embeddings & Similarity
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- `llm_embed_text()` - Generate vector embeddings
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- `llm_similarity()` - Calculate semantic similarity
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### 🔧 Provider Management
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- `llm_set_provider()` - Switch default provider
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- `llm_get_provider()` - Get current provider info
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- `llm_list_providers()` - List all available providers
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- `llm_health_check()` - Check provider status
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### 🛠️ Utilities
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- `llm_utility_calculator()` - Basic math operations
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## Supported Providers
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- **Gemini**: Latest 2.5 models (up to 1M token context)
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- **OpenAI**: GPT-4.1, O-series reasoning models (up to 1M token context)
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- **Anthropic**: Claude 4 Sonnet/Haiku (200K token context)
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- **Grok**: Latest models (100K token context)
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## Testing
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Test the installation:
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```bash
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# Test the MCP server
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uvx --from . gemini-mcp
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# Test all tools
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uv run python test_all_tools.py
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``` |