# Install the package
pip install mcp-chat-analysis-server

# Set up configuration
cp config.example.yml config.yml
# Edit config.yml with your database settings

# Run the server
python -m mcp_chat_analysis.server

{
  "mcpServers": {
    "chat-analysis": {
      "command": "python",
      "args": ["-m", "mcp_chat_analysis.server"],
      "env": {
        "QDRANT_URL": "http://localhost:6333",
        "NEO4J_URL": "bolt://localhost:7687",
        "NEO4J_USER": "neo4j",
        "NEO4J_PASSWORD": "your-password"
      }
    }
  }
}

{
    "source_path": "/path/to/export.zip",
    "format": "openai_native"  # or html, markdown, json
}

{
    "query": "machine learning applications",
    "limit": 10,
    "min_score": 0.7
}

{
    "conversation_id": "conv-123",
    "metrics": [
        "message_frequency",
        "response_times",
        "topic_diversity"
    ]
}

{
    "conversation_id": "conv-123",
    "min_relevance": 0.5,
    "max_concepts": 10
}

pip install mcp-chat-analysis-server

# Using Docker (recommended)
docker compose up -d

cp .env.example .env
# Edit .env with your settings

git clone https://github.com/rebots-online/mcp-chat-analysis-server.git
cd mcp-chat-analysis-server

pip install -e ".[dev]"

pytest tests/