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║              GEMINI MCP SERVER - QUICK REFERENCE GUIDE                      ║
║                          Setup Status: ✅ COMPLETE                          ║
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📋 WHAT'S INCLUDED
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✅ Server Implementation
   • 22 module-level functions (6 tools, 2 resources, 3 prompts, + helpers)
   • 1,491 lines of production-ready code
   • Proper MCP introspection support

✅ Documentation (6 files)
   • SETUP_COMPLETE.md - This setup summary
   • QUICK_START.md - 3-minute setup
   • SETUP_GUIDE.md - 30+ page comprehensive guide
   • COMMAND_REFERENCE.md - All available commands
   • NPM_NPX_SETUP.md - Distribution and publishing
   • README.md - Full feature documentation

✅ Configuration Files
   • ~/.config/Claude/claude_desktop_config.json - Claude Code integration
   • manifest.json - .mcpb bundle metadata
   • requirements.txt - Python dependencies
   • demo/gemini/.env - Optional environment configuration

✅ Dependencies
   • ✓ google-genai (Gemini API SDK)
   • ✓ simply-mcp (MCP framework)
   • ✓ python-dotenv (Environment loading)
   • Virtual environment with all dependencies pre-installed

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🚀 GETTING STARTED (Pick One Method)
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METHOD 1: claude mcp add (Recommended - Easiest)
──────────────────────────────────────────────
1. Get API key from: https://aistudio.google.com/app/apikey
2. Run this command:

   export GEMINI_API_KEY="your-api-key-here"
   claude mcp add --transport stdio gemini \
     --env GEMINI_API_KEY="${GEMINI_API_KEY}" \
     -- python /mnt/Shared/cs-projects/simply-mcp-py/demo/gemini/server.py

3. Quit and reopen Claude Code completely
4. Done! Tools will appear in Claude Code

METHOD 2: Configuration File (Manual - Most Control)
──────────────────────────────────────────────────
1. Edit ~/.config/Claude/claude_desktop_config.json
2. Add this configuration:

   {
     "mcpServers": {
       "gemini-server": {
         "command": "/mnt/Shared/cs-projects/simply-mcp-py/venv/bin/python",
         "args": ["/mnt/Shared/cs-projects/simply-mcp-py/demo/gemini/server.py"],
         "env": {
           "PYTHONUNBUFFERED": "1",
           "GEMINI_API_KEY": "your-api-key-here"
         }
       }
     }
   }

3. Quit and reopen Claude Code completely
4. Done!

METHOD 3: simply-mcp run (CLI - Direct Testing)
────────────────────────────────────────────
cd /mnt/Shared/cs-projects/simply-mcp-py
simply-mcp run demo/gemini/server.py

# Or with HTTP transport
simply-mcp run demo/gemini/server.py --transport http --port 3000

# Or development mode (auto-reload)
simply-mcp dev demo/gemini/server.py

METHOD 4: .mcpb Bundle (Distribution - One-Click Install)
──────────────────────────────────────────────────────
cd /mnt/Shared/cs-projects/simply-mcp-py
mcpb pack demo/gemini -o gemini-server.mcpb

# Share gemini-server.mcpb with team members who can:
# - Double-click to install
# - Or: claude mcp install gemini-server.mcpb

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🛠️ AVAILABLE TOOLS & FEATURES
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6 TOOLS (for Claude Code to use)
├─ upload_file          Upload files to Gemini Files API
├─ generate_content     Generate content with file context
├─ start_chat           Start new chat sessions
├─ send_message         Send follow-up messages
├─ list_files           List all uploaded files
└─ delete_file          Delete files from Gemini

2 RESOURCES (for metadata access)
├─ chat-history://{id}  Get chat session info
└─ file-info://{name}   Get file metadata

3 PROMPTS (templates for analysis)
├─ analyze_media        Analyze audio/video/image/document
├─ document_qa          Question-answering (summary/detailed/extraction)
└─ multimodal_analysis  Multi-file analysis (compare/synthesize/timeline)

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✔️ VERIFICATION CHECKLIST
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Before using, verify:

□ API Key Set
  echo $GEMINI_API_KEY
  (Should output your API key)

□ MCP Configuration Valid
  python3 -m json.tool < ~/.config/Claude/claude_desktop_config.json
  (Should output valid JSON with no errors)

□ Dependencies Installed
  /mnt/Shared/cs-projects/simply-mcp-py/venv/bin/python \
    -c "import google.genai; import simply_mcp; print('✓')"
  (Should print: ✓)

□ Server Starts
  timeout 5 python /mnt/Shared/cs-projects/simply-mcp-py/demo/gemini/server.py || true
  (Should start and exit cleanly)

□ Claude Code Restarted
  Quit Claude Code completely (not just close window)
  Wait 3 seconds
  Reopen Claude Code
  (Check for mcp__gemini-server__* tools in available tools)

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🚨 TROUBLESHOOTING
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Problem: Tools not showing in Claude Code
Solution:
  1. Verify API key is set: echo $GEMINI_API_KEY
  2. Verify MCP config is valid JSON
  3. QUIT Claude Code completely
  4. Wait 3 seconds
  5. Reopen Claude Code
  ⚠️  Configuration changes only take effect on app startup!

Problem: "google-genai SDK not available"
Solution:
  1. Verify venv has it: /mnt/Shared/cs-projects/simply-mcp-py/venv/bin/python \
       -c "import google.genai"
  2. Verify config uses correct Python path
  3. Reinstall if needed: pip install google-genai

Problem: "GEMINI_API_KEY not set"
Solution: Create ~/.config/Claude/.env or set environment variable:
  echo "GEMINI_API_KEY=your-key-here" > demo/gemini/.env
  OR
  export GEMINI_API_KEY="your-key-here"

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📚 DOCUMENTATION
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Quick References:
  • 3-minute setup: QUICK_START.md
  • Detailed guide: SETUP_GUIDE.md (30+ pages)
  • All commands: COMMAND_REFERENCE.md
  • Publishing: NPM_NPX_SETUP.md
  • Features: README.md

External Resources:
  • API Key: https://aistudio.google.com/app/apikey
  • Gemini Models: https://ai.google.dev/models
  • Simply-MCP: https://github.com/Clockwork-Innovations/simply-mcp-py
  • MCP Protocol: https://modelcontextprotocol.io

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💡 USEFUL COMMANDS
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# Test server startup
timeout 5 python /mnt/Shared/cs-projects/simply-mcp-py/demo/gemini/server.py || true

# Check installed packages
pip list | grep -E "google-genai|simply-mcp|pydantic"

# List Claude MCP servers
claude mcp list

# Remove server from Claude
claude mcp remove gemini

# View Claude Code config
cat ~/.config/Claude/claude_desktop_config.json | python -m json.tool

# Run with HTTP for API access
simply-mcp run demo/gemini/server.py --transport http --port 3000

# Development mode (auto-reload on changes)
simply-mcp dev demo/gemini/server.py

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✨ NEXT STEPS
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1. Get API Key
   → Go to https://aistudio.google.com/app/apikey
   → Create a new API key
   → Copy it

2. Choose Setup Method
   → Pick one of the 4 methods above
   → Most users should use Method 1 (claude mcp add)

3. Restart Claude Code
   → Quit completely (Command+Q on Mac, close button on Windows)
   → Wait 3 seconds
   → Reopen Claude Code

4. Start Using!
   → Look for mcp__gemini-server__* tools in available tools
   → Try uploading an image and analyzing it
   → Try starting a multi-turn conversation with Gemini

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✅ SETUP COMPLETE AND VERIFIED
Last Updated: 2025-10-16
Status: All systems ready ✓

For detailed information, see SETUP_COMPLETE.md or the documentation suite.
