data-science.json

{
  "mcpServers": {
    "jupyter": {
      "command": "uvx",
      "args": ["mcp-jupyter"],
      "description": "Create, edit, and execute Jupyter notebook cells. Manage kernels and inspect outputs."
    },
    "sqlite": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-sqlite", "/path/to/analysis.db"],
      "description": "Query SQLite databases for local data exploration, schema inspection, and ad-hoc analytics."
    },
    "postgres": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-postgres"],
      "env": {
        "POSTGRES_CONNECTION_STRING": "postgresql://analyst:password@localhost:5432/warehouse"
      },
      "description": "Query the data warehouse for production analytics, reporting, and data validation."
    },
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/data-project"],
      "description": "Read CSV, Parquet, and JSON data files. Write processed outputs and reports."
    },
    "fetch": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-fetch"],
      "description": "Fetch datasets from public APIs, download documentation, and access data catalogs."
    },
    "memory": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-memory"],
      "description": "Track experiment results, feature engineering decisions, and model performance across sessions."
    }
  }
}