数据处理处理器

npm install -g kimi-k2-heavy-processor-mcp

git clone https://github.com/justmy2satoshis/kimi-k2-heavy-processor-mcp.git
cd kimi-k2-heavy-processor-mcp
pip install -r requirements.txt

{
  "mcpServers": {
    "kimi-k2-heavy-processor": {
      "command": "python",
      "args": ["C:\\path\\to\\kimi-k2-heavy-processor-mcp\\src\\server.py"],
      "env": {
        "DB_PATH": "C:\\Users\\username\\AppData\\Local\\kimi-k2\\data.db",
        "MAX_MEMORY_MB": "2048",
        "CHUNK_SIZE": "10000"
      }
    }
  }
}

result = await execute_sql({
  "query": "SELECT * FROM users WHERE created_at > ?",
  "params": ["2024-01-01"],
  "database": "main.db"
})

processed = await process_batch({
  "input_file": "data.csv",
  "operations": [
    {"type": "filter", "condition": "amount > 100"},
    {"type": "transform", "mapping": "amount * 1.1"},
    {"type": "aggregate", "group_by": "category"}
  ],
  "output_format": "json"
})

result = await resilient_execute({
  "operation": "complex_etl",
  "source": "raw_data.csv",
  "max_retries": 3,
  "checkpoint_interval": 1000
})

pipeline = await create_pipeline({
  "stages": [
    {"name": "extract", "source": "database"},
    {"name": "transform", "rules": "business_logic.json"},
    {"name": "load", "target": "warehouse.db"}
  ],
  "parallel": true
})

kimi-k2-heavy-processor-mcp/
├── src/
│   ├── server.py           # Main MCP server
│   ├── sql_processor.py    # SQL execution engine
│   ├── batch_processor.py  # Batch operations
│   ├── resilient.py        # Retry mechanisms
│   └── pipeline.py         # Data pipelines
├── examples/               # Usage examples
├── tests/                  # Test suite
└── requirements.txt

pytest tests/

# 1. Load CSV data
await load_csv("sales_data.csv", "sales_table")

# 2. Process with SQL
await execute_sql("""
  SELECT
    category,
    SUM(amount) as total,
    AVG(amount) as average
  FROM sales_table
  GROUP BY category
  HAVING total > 10000
""")

# 3. Export results
await export_results("summary.json", format="json")