pip install -e .

pip install -e ".[dev]"

cp .env.example .env

PG_MCP_DATABASES=postgresql://user:pass@host1:5432/db1,postgresql://user:pass@host2:5432/db2

{
  "mcpServers": {
    "pg-mcp": {
      "command": "pg-mcp",
      "args": [],
      "env": {
        "PG_MCP_DATABASES": "postgresql://user:pass@localhost:5432/mydb",
        "OPENAI_API_KEY": "sk-...",
        "PG_MCP_SCHEMA_CACHE_PATH": "~/.cache/pg-mcp/schema.json"
      }
    }
  }
}

{
  "question": "What are the top 10 customers by sales last month?",
  "database": "mydb",
  "return_sql": false,
  "max_rows": 100
}

{
  "database": "mydb",
  "schema": "public",
  "pattern": "user"
}

{
  "database": "mydb"
}

# From project root, create & seed all fixture databases
cd fixtures
make all

# Or create individual ones
make small     # pg_mcp_test_small  — bookshelf (4 tables, ~50 rows)
make medium    # pg_mcp_test_medium — ecommerce (12 tables, ~500 rows)
make large     # pg_mcp_test_large  — enterprise (28 tables, ~5000 rows)

make all PGUSER=myuser PGPASSWORD=mypass PGHOST=127.0.0.1

PG_MCP_DATABASES=postgresql://root:admin123@localhost:5432/pg_mcp_test_small,postgresql://root:admin123@localhost:5432/pg_mcp_test_medium,postgresql://root:admin123@localhost:5432/pg_mcp_test_large

cd /path/to/postgres-mcp
fastmcp dev src/pg_mcp/server.py:mcp

{
  "mcpServers": {
    "pg-mcp": {
      "command": "python3",
      "args": ["-m", "pg_mcp.server"],
      "cwd": "/path/to/postgres-mcp"
    }
  }
}

cd fixtures
make drop-all      # Remove all fixture databases
make refresh-all   # Drop + recreate + re-seed

python3 -m pytest tests/ -v

User question
  → Schema context assembled from cache
  → OpenAI generates SQL
  → Safety validation (SELECT-only, no dangerous functions, LIMIT injection)
  → Execute in read-only transaction with timeout
  → Optional result validation on empty results
  → Return SQL or query results