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# wpostgresql-mcp MCP Server for WPostgreSQL Architecting — teaches AI agents how to build high-performance PostgreSQL-backed systems with the **wpostgresql** library. ## Features - **10 Architect Tools**: Blueprints, manual, catalog search, scaffolding, connection validation, pattern generation - **20 Offline Patterns**: All core wpostgresql features cataloged with module references - **Scaffolding Generator**: Deploys full project structure with config, models, repositories, migrations, main.py - **Live Connection Validation**: Tests PostgreSQL connectivity via psycopg 3 and returns health status - **Pattern-based Generation**: Generates starter projects from catalog patterns ## Installation ```bash # Clone and install cd wpostgresql-mcp pip install -e . ``` Or use the installer: ```bash chmod +x installer.sh ./installer.sh ``` ## Quick Start ```bash # Run the MCP server in stdio mode (for agent integration) wpostgresql-mcp run # Get configuration for your AI agent wpostgresql-mcp config # Start as background SSE server wpostgresql-mcp start ``` ## Available Tools | Tool | Description | |------|-------------| | `get_wpostgresql_architect_blueprints` | Complete CRUD, async, batch, transaction, pool, sync, query builder examples | | `get_wpostgresql_architect_manual` | Expert rules, module map, data structure selection guide | | `search_wpostgresql_pattern` | Search 20+ PostgreSQL patterns in official/community catalogs | | `deploy_wpostgresql_scaffolding` | Generate full project structure with config/models/repos/migrations | | `validate_postgresql_connection` | Live health check against a running PostgreSQL instance | | `generate_from_pattern` | Generate project + example from a specific catalog pattern | ## Agent Integration ### Gemini CLI ```bash gemini mcp add wpostgresql-mcp python3 -m wpostgresql_mcp.server run ``` ### Claude Desktop / Cursor ```json { "mcpServers": { "wpostgresql-mcp": { "command": "python3", "args": ["-m…
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